# MATH/STAT 310: Introduction to Probability and Mathematical Statistics II | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MATH_STAT_310) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id 71a0e0a1df65f27a31bd4130daab8ac7bdccc1d284e19a5d1344213d2b089d24 ### course id MATH/STAT 310 ### course uid course\_e593b86c370a0c671af794df ### catalog version id e49252b796e4572c554e8927cd931d05a3a32e6172cb8a83845727cc25b2d26f ### course number 310 ### subjects * MATH * STAT ### title INTRODUCTION TO PROBABILITY AND MATHEMATICAL STATISTICS II ### description Mathematical statistical inference aims at providing an understanding of likelihood's central role to statistical inference, using the language of mathematical statistics to analyze statistical procedures, and using the computer as a tool for understanding statistics. Specific topics include: samples and populations, estimation, hypothesis testing, and theoretical properties of statistical inference. ### requirements text (STAT/​MATH  309,STAT 311,STAT/​MATH  431, orMATH 531) and (STAT 240,STAT 301, STAT 302,STAT 324,STAT 371, orECON 310), or graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:600:018442 * 1272:932:018442 ### llm job id enrich-ecd149b6a6e0877fce2f3d1c ### llm output id 5c3103063650a245f02039aed02c2bc4553bcf6b6d3f146ba717da48f6ee0d2c ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduction to mathematical statistical inference, focusing on likelihood, estimation, and hypothesis testing. ### llm topics * Samples, populations, estimation, and hypothesis testing. ### llm skills * Understanding the role of likelihood in statistical inference. * Analyzing statistical procedures using mathematical statistics. * Using computational tools for statistical understanding. * Mastering samples, populations, estimation, and hypothesis testing. ### llm assumed background * Foundational probability and statistical methods, including distributions, regression, and inference basics. * Introductory probability theory and mathematical statistics, covering distributions, expectation, and estimation. ### llm search phrases * mathematical statistical inference likelihood * probability and mathematical statistics II * STAT 310 prerequisites * hypothesis testing theoretical properties ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash d90e06ecd7e93b1f487abadaae48f5a2abb43161302489a67ec6cdecfd27ffc0 #### course id MATH/STAT 310 #### current instructors ```json [ { "instructor_uid": "instructor_d7b41c083f24f56aff511a2a", "message": null, "name": "Keith Levin", "review_status": "supported", "rmp_instructor_id": "rmp:2726941", "summary": [ { "citations": [ { "instructor_name": "Keith Levin", "review_date": "2023-10-18 00:54:25 +0000 UTC", "review_id": "356f8877aad487851324b0bc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTM4Mjg0MDk3", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2023-12-04 23:47:29 +0000 UTC", "review_id": "d3e74b2cc07889762b2904d4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTM4NTEyNTEz", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2023-12-16 18:48:56 +0000 UTC", "review_id": "4e1f62bf35fc0f2008fc2cf4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTM4NzA3ODA1", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2024-12-12 23:30:48 +0000 UTC", "review_id": "d77c091124318eb185e441d9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQwMjYxOTMx", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2025-07-11 17:51:05 +0000 UTC", "review_id": "c55eb89b5db8024217e051e9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQwMjY2OTQw", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2025-11-25 23:25:37 +0000 UTC", "review_id": "f1c4b74f5a22410d994738e4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQxOTUzNDE2", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" } ], "text": "Keith Levin receives harsh criticism for unclear lectures that do not correlate with exams and for being impatient in office hours. Reviewers describe the course as overly difficult, with a significant mismatch between lecture content and test material." }, { "citations": [ { "instructor_name": "Keith Levin", "review_date": "2024-10-31 20:02:32 +0000 UTC", "review_id": "a2f020b70cc0f403ed63e829", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTM5ODc4NTM2", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2024-12-20 03:29:19 +0000 UTC", "review_id": "e394628a2b23d25ed73a4b00", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQwMzkxODQ3", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2025-12-17 21:37:26 +0000 UTC", "review_id": "246cc23f17c42c47560def3c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQyMzE2MzAz", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2025-12-25 05:52:49 +0000 UTC", "review_id": "33c8b1cb2dcbb282c1d402a2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQyMzk2MDE2", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" } ], "text": "Conversely, some students praise Levin for motivating mathematical concepts and explaining material clearly. These reviewers appreciate his theoretical approach, though they note the course requires significant preparation and proof-based math background." }, { "citations": [ { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.26 GPA, 54.2% A/AB (n=48 letter grades); Fall 2024: 3.34 GPA, 60.5% A/AB (n=43 letter grades); Fall 2025: 3.26 GPA, 54.7% A/AB (n=53 letter grades)." } ] } ] ``` #### difficulty workload The course is described as difficult and intense, with long homeworks, high-stakes exams, and a significant gap between lecture content and test material. ```json { "citations": [ { "instructor_name": "Keith Levin", "review_date": "2023-10-18 00:54:25 +0000 UTC", "review_id": "356f8877aad487851324b0bc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTM4Mjg0MDk3", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2023-12-04 23:47:29 +0000 UTC", "review_id": "d3e74b2cc07889762b2904d4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTM4NTEyNTEz", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2023-12-16 18:48:56 +0000 UTC", "review_id": "4e1f62bf35fc0f2008fc2cf4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTM4NzA3ODA1", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2024-10-31 20:02:32 +0000 UTC", "review_id": "a2f020b70cc0f403ed63e829", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTM5ODc4NTM2", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2024-12-12 23:30:48 +0000 UTC", "review_id": "d77c091124318eb185e441d9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQwMjYxOTMx", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2025-07-11 17:51:05 +0000 UTC", "review_id": "c55eb89b5db8024217e051e9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQwMjY2OTQw", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2025-11-25 23:25:37 +0000 UTC", "review_id": "f1c4b74f5a22410d994738e4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQxOTUzNDE2", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2025-12-25 05:52:49 +0000 UTC", "review_id": "33c8b1cb2dcbb282c1d402a2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQyMzk2MDE2", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Bret Larget, Cecile Ane, Ismor Fischer, Bret Hanlon, Hyunseung Kang, Garvesh Raskutti, Pixu Shi, Panduan An, and Bo Yang show extreme disagreement. Some praise clear lectures and helpfulness, while others report arbitrary grading, excessive difficulty, and poor communication. ```json { "citations": [ { "instructor_name": "Bret Larget", "review_date": "2009-05-10 16:51:23 +0000 UTC", "review_id": "ef342bde5d894e699c22fbe8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:566625", "source_review_id": "UmF0aW5nLTE1ODA2MTUx", "source_url": "https://www.ratemyprofessors.com/professor/566625", "type": "review" }, { "instructor_name": "Cecile Ane", "review_date": "2013-06-09 18:47:41 +0000 UTC", "review_id": "ff6a78c40a9dbe1865860e78", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:755215", "source_review_id": "UmF0aW5nLTIxODc3NDcy", "source_url": "https://www.ratemyprofessors.com/professor/755215", "type": "review" }, { "instructor_name": "Ismor Fischer", "review_date": "2016-04-12 10:24:44 +0000 UTC", "review_id": "2031c800808a814385c45e4b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTI2Mjc3MjUx", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" }, { "instructor_name": "Bret Hanlon", "review_date": "2017-11-21 01:19:16 +0000 UTC", "review_id": "85b9b25dac02355e695768a5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1530102", "source_review_id": "UmF0aW5nLTI4OTQ0NDQy", "source_url": "https://www.ratemyprofessors.com/professor/1530102", "type": "review" }, { "instructor_name": "Hyunseung Kang", "review_date": "2018-12-28 00:48:59 +0000 UTC", "review_id": "34c89546dda2e0ea1c0b40b1", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2234533", "source_review_id": "UmF0aW5nLTMxMTY1ODA5", "source_url": "https://www.ratemyprofessors.com/professor/2234533", "type": "review" }, { "instructor_name": "Garvesh Raskutti", "review_date": "2019-04-07 18:36:28 +0000 UTC", "review_id": "6f6dacb26b8da097aa7884d8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1870984", "source_review_id": "UmF0aW5nLTMxNTQ1MTg2", "source_url": "https://www.ratemyprofessors.com/professor/1870984", "type": "review" }, { "instructor_name": "Pixu Shi", "review_date": "2020-01-18 01:00:44 +0000 UTC", "review_id": "6080bd55526231a2cb9c1e10", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2525911", "source_review_id": "UmF0aW5nLTMyODQ3MjE2", "source_url": "https://www.ratemyprofessors.com/professor/2525911", "type": "review" }, { "instructor_name": "Panduan An", "review_date": "2020-05-13 18:43:47 +0000 UTC", "review_id": "d6d073252efb72f5f6cd55c1", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2546332", "source_review_id": "UmF0aW5nLTMzMjg1OTU3", "source_url": "https://www.ratemyprofessors.com/professor/2546332", "type": "review" }, { "instructor_name": "Garvesh Raskutti", "review_date": "2021-04-11 22:13:48 +0000 UTC", "review_id": "b934875df057e4fe876abff7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1870984", "source_review_id": "UmF0aW5nLTM0NTMzODQy", "source_url": "https://www.ratemyprofessors.com/professor/1870984", "type": "review" }, { "instructor_name": "Bo Yang", "review_date": "2021-04-23 01:52:43 +0000 UTC", "review_id": "b495b03e45a58f37a1c3c5b5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2107418", "source_review_id": "UmF0aW5nLTM0NjA2MjMz", "source_url": "https://www.ratemyprofessors.com/professor/2107418", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Reviews for Keith Levin are sharply divided, with some calling him the worst professor due to unclear lectures and exam mismatches, while others praise his clear explanations and theoretical motivation. ```json { "citations": [ { "instructor_name": "Keith Levin", "review_date": "2023-10-18 00:54:25 +0000 UTC", "review_id": "356f8877aad487851324b0bc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTM4Mjg0MDk3", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2023-12-04 23:47:29 +0000 UTC", "review_id": "d3e74b2cc07889762b2904d4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTM4NTEyNTEz", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2023-12-16 18:48:56 +0000 UTC", "review_id": "4e1f62bf35fc0f2008fc2cf4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTM4NzA3ODA1", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2024-10-31 20:02:32 +0000 UTC", "review_id": "a2f020b70cc0f403ed63e829", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTM5ODc4NTM2", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2024-12-12 23:30:48 +0000 UTC", "review_id": "d77c091124318eb185e441d9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQwMjYxOTMx", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2024-12-20 03:29:19 +0000 UTC", "review_id": "e394628a2b23d25ed73a4b00", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQwMzkxODQ3", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2025-07-11 17:51:05 +0000 UTC", "review_id": "c55eb89b5db8024217e051e9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQwMjY2OTQw", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2025-11-25 23:25:37 +0000 UTC", "review_id": "f1c4b74f5a22410d994738e4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQxOTUzNDE2", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2025-12-17 21:37:26 +0000 UTC", "review_id": "246cc23f17c42c47560def3c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQyMzE2MzAz", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2025-12-25 05:52:49 +0000 UTC", "review_id": "33c8b1cb2dcbb282c1d402a2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQyMzk2MDE2", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.32 GPA, 56.3% A/AB (n=71 letter grades); Fall 2025: 3.26 GPA, 54.7% A/AB (n=53 letter grades); Spring 2026: 2.96 GPA, 42.6% A/AB (n=68 letter grades). ```json { "citations": [ { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Students report frustration with unclear lectures and limited office hour availability, though some find the theoretical approach helpful if they have prior proof-based math experience. ```json { "citations": [ { "instructor_name": "Keith Levin", "review_date": "2023-12-04 23:47:29 +0000 UTC", "review_id": "d3e74b2cc07889762b2904d4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTM4NTEyNTEz", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2024-10-31 20:02:32 +0000 UTC", "review_id": "a2f020b70cc0f403ed63e829", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTM5ODc4NTM2", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2024-12-20 03:29:19 +0000 UTC", "review_id": "e394628a2b23d25ed73a4b00", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQwMzkxODQ3", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2025-07-11 17:51:05 +0000 UTC", "review_id": "c55eb89b5db8024217e051e9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQwMjY2OTQw", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" }, { "instructor_name": "Keith Levin", "review_date": "2025-12-17 21:37:26 +0000 UTC", "review_id": "246cc23f17c42c47560def3c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2726941", "source_review_id": "UmF0aW5nLTQyMzE2MzAz", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history BO YANG is recorded teaching in Fall 2020, Fall 2021, Spring 2022, Fall 2022. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" } ] } ``` BRET HANLON is recorded teaching in Fall 2013, Spring 2014, Fall 2014, Spring 2015, Spring 2016, Fall 2016, Spring 2017. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" } ] } ``` BRET LARGET is recorded teaching in Spring 2009. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1094", "type": "grade" } ] } ``` CECILE ANE is recorded teaching in Spring 2013. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1134", "type": "grade" } ] } ``` GARVESH RASKUTTI is recorded teaching in Spring 2019, Fall 2020. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" } ] } ``` HYUNSEUNG KANG is recorded teaching in Spring 2018. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" } ] } ``` KEITH LEVIN is recorded teaching in Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` PANDUAN AN is recorded teaching in Spring 2020, Spring 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" } ] } ``` PIXU SHI is recorded teaching in Fall 2018, Fall 2019. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "MATH/STAT 310", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "source_record": { "entity_id": "d5990fa7-26ea-3935-8a2d-77c07b800aac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "(STAT/MATH 309,STAT 311,STAT/MATH 431, orMATH 531) and (STAT 240,STAT 301, STAT 302,STAT 324,STAT 371, orECON 310), or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "(STAT/MATH 309,STAT 311,STAT/MATH 431, orMATH 531) and (STAT 240,STAT 301, STAT 302,STAT 324,STAT 371, orECON 310)", "id": "n1", "kind": "all" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n2", "kind": "condition" }, { "children": [ "n5", "n6", "n7", "n8" ], "condition": null, "course": null, "evidence": "STAT/MATH 309,STAT 311,STAT/MATH 431, orMATH 531", "id": "n3", "kind": "any" }, { "children": [ "n9", "n10", "n11", "n12", "n13", "n14" ], "condition": null, "course": null, "evidence": "STAT 240,STAT 301, STAT 302,STAT 324,STAT 371, orECON 310", "id": "n4", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 309, "minimum_grade": null, "subjects": [ "MATH", "STAT" ], "timing": "prior" }, "evidence": "STAT/MATH 309", "id": "n5", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 311, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 311", "id": "n6", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 431, "minimum_grade": null, "subjects": [ "MATH", "STAT" ], "timing": "prior" }, "evidence": "STAT/MATH 431", "id": "n7", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 531, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 531", "id": "n8", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 240, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 240", "id": "n9", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 301, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 301", "id": "n10", "kind": "course" }, { "children": [], "condition": "STAT 302", "course": null, "evidence": "STAT 302", "id": "n11", "kind": "condition" }, { "children": [], "condition": "STAT 324", "course": null, "evidence": "STAT 324", "id": "n12", "kind": "condition" }, { "children": [], "condition": "STAT 371", "course": null, "evidence": "STAT 371", "id": "n13", "kind": "condition" }, { "children": [], "condition": "ECON 310", "course": null, "evidence": "ECON 310", "id": "n14", "kind": "condition" } ] ``` #### notes * STAT 302, STAT 324, STAT 371, and ECON 310 are mentioned in requirements\_text but are not present in linked\_courses. These are treated as verbatim conditions requiring review for canonical identity. * The structure is (A or B or C or D) AND (E or F or G or H or I or J) OR K. Node n0 is the top-level OR. Node n1 is the AND of the course groups. Node n2 is the standing condition. #### root n0 #### status needs\_review ### instructors ```json [ { "instructor_uid": "instructor_6a0b82d758106fd1d7960eca", "source": "enrollment", "source_instructor_id": "ajfagan", "identity_basis": "netid", "identity_status": "source_identified", "name": "AJ Fagan", "email": "AJFAGAN@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/AJ_FAGAN" }, { "instructor_uid": "instructor_d7b41c083f24f56aff511a2a", "source": "enrollment", "source_instructor_id": "kdlevin", "identity_basis": "netid", "identity_status": "source_identified", "name": "Keith Levin", "email": "KDLEVIN@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 52, "quality": 1.9, "difficulty": 4.04, "quality_count": 52, "difficulty_count": 52, "profile_id": "rmp:2726941", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "match_basis": "exact_name", "observed_at": "2026-09-07 16:26:32.891187+00:00", "courses": { "course_e593b86c370a0c671af794df": { "review_count": 12, "quality": 2.5, "difficulty": 4.33, "quality_count": 12, "difficulty_count": 12 }, "course_d2d0c15e32bd1631a6074548": { "review_count": 39, "quality": 1.74, "difficulty": 3.92, "quality_count": 39, "difficulty_count": 39 } }, "bayesian_quality": 2.388801606540721, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/KEITH_LEVIN" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:600:018442", "course_id": "MATH/STAT 310", "course_uid": "course_e593b86c370a0c671af794df", "term_id": "1272", "source_course_id": "018442", "source_subject_id": "600", "title": "Introduction to Probability and Mathematical Statistics II", "credits_min": 3, "credits_max": 3, "typically_offered": "Spring" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:018442", "course_id": "MATH/STAT 310", "course_uid": "course_e593b86c370a0c671af794df", "term_id": "1272", "source_course_id": "018442", "source_subject_id": "932", "title": "Introduction to Probability and Mathematical Statistics II", "credits_min": 3, "credits_max": 3, "typically_offered": "Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:27390", "term_id": "1272", "source_section_id": "27390", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 63, "enrolled": 14, "waitlisted": 4, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:27391", "term_id": "1272", "source_section_id": "27391", "identity_basis": "class_number", "section_number": "311", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 20, "enrolled": 5, "waitlisted": 1, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:27392", "term_id": "1272", "source_section_id": "27392", "identity_basis": "class_number", "section_number": "312", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 20, "enrolled": 4, "waitlisted": 2, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:27393", "term_id": "1272", "source_section_id": "27393", "identity_basis": "class_number", "section_number": "313", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 20, "enrolled": 5, "waitlisted": 1, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:25446", "term_id": "1272", "source_section_id": "25446", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 72, "enrolled": 57, "waitlisted": 5, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:25447", "term_id": "1272", "source_section_id": "25447", "identity_basis": "class_number", "section_number": "311", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 24, "enrolled": 19, "waitlisted": 2, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:25448", "term_id": "1272", "source_section_id": "25448", "identity_basis": "class_number", "section_number": "312", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 24, "enrolled": 19, "waitlisted": 3, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:25449", "term_id": "1272", "source_section_id": "25449", "identity_basis": "class_number", "section_number": "313", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 24, "enrolled": 19, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_65cbac2c9da9e3d3236992ef", "source": "madgrades", "source_instructor_id": "4108525", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHENGJUN ZHANG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.47, "graded": 1374, "counts": [ 541, 447, 245, 81, 44, 14, 2 ], "sections": 96 }, "instructor_url": "/instructors/ZHENGJUN_ZHANG--instructor_65cbac2c9da9e3d3236992ef" }, { "instructor_uid": "instructor_0fa00489e3ab3e94b9e52d89", "source": "madgrades", "source_instructor_id": "751075", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BRET LARGET", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 29, "quality": 3.31, "difficulty": 3.21, "quality_count": 29, "difficulty_count": 29, "profile_id": "rmp:566625", "source_url": "https://www.ratemyprofessors.com/professor/566625", "match_basis": "exact_name", "observed_at": "2026-09-07 16:51:20.625013+00:00", "courses": { "course_03f8aaae24bac7658b319ca8": { "review_count": 16, "quality": 2.88, "difficulty": 3.31, "quality_count": 16, "difficulty_count": 16 }, "course_72cc7ddf48330b71523f309f": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_2a00c702ff402614a950606e": { "review_count": 2, "quality": 4, "difficulty": 2, "quality_count": 2, "difficulty_count": 2 }, "course_e593b86c370a0c671af794df": { "review_count": 1, "quality": 5, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 }, "course_4dd38bb021601e5dff558ba1": { "review_count": 1, "quality": 2, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, 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"enrollment", "source_instructor_id": "kdlevin", "identity_basis": "netid", "identity_status": "source_identified", "name": "Keith Levin", "email": "KDLEVIN@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 52, "quality": 1.9, "difficulty": 4.04, "quality_count": 52, "difficulty_count": 52, "profile_id": "rmp:2726941", "source_url": "https://www.ratemyprofessors.com/professor/2726941", "match_basis": "exact_name", "observed_at": "2026-09-07 16:26:32.891187+00:00", "courses": { "course_e593b86c370a0c671af794df": { "review_count": 12, "quality": 2.5, "difficulty": 4.33, "quality_count": 12, "difficulty_count": 12 }, "course_d2d0c15e32bd1631a6074548": { "review_count": 39, "quality": 1.74, "difficulty": 3.92, "quality_count": 39, "difficulty_count": 39 } }, "bayesian_quality": 2.388801606540721, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": 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"incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 68, "source_aliases": [ "MATH/STAT 310" ] } ] ``` ### statistics #### gpa 3.194 #### graded 1875 #### counts * 670 * 336 * 441 * 173 * 158 * 62 * 35 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_e593b86c370a0c671af794df-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_e593b86c370a0c671af794df-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_e593b86c370a0c671af794df-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_e593b86c370a0c671af794df-0.json) * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_e593b86c370a0c671af794df-1.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_e593b86c370a0c671af794df-1.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_e593b86c370a0c671af794df-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_e593b86c370a0c671af794df-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_e593b86c370a0c671af794df-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_e593b86c370a0c671af794df-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_e593b86c370a0c671af794df-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_e593b86c370a0c671af794df-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.1944 #### count 1875 #### university ##### size 5662 ##### gpa Percentile 6 ##### count Percentile 92 ##### median Count 215 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 343 | true | | 3.2–3.6 | 1520 | false | | 3.6–4.0 | 3789 | false | #### departments ```json [ { "subject": "MATH", "comparison": { "size": 136, "gpaPercentile": 27, "countPercentile": 83, "medianCount": 250.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 34, "current": true }, { "range": "3.2–3.6", "count": 26, "current": false }, { "range": "3.6–4.0", "count": 73, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 78, "gpaPercentile": 10, "countPercentile": 86, "medianCount": 375.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 31, "current": false }, { "range": "3.6–4.0", "count": 38, "current": false } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.5625 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1084 ##### term 1084 ##### gpa 3.426470588235294 ##### count 34 ##### university ###### size 720 ###### gpa Percentile 57 ###### count Percentile 9 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 207 | false | | 3.2–3.6 | 248 | true | | 3.6–4.0 | 217 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 22, "gpaPercentile": 86, "countPercentile": 5, "medianCount": 88.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 11, "gpaPercentile": 80, "countPercentile": 0, "medianCount": 60, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1094 ##### term 1094 ##### gpa 3.1041666666666665 ##### count 48 ##### university ###### size 758 ###### gpa Percentile 24 ###### count Percentile 30 ###### median Count 71 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 35 | false | | 2.8–3.2 | 226 | true | | 3.2–3.6 | 259 | false | | 3.6–4.0 | 236 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 19, "gpaPercentile": 83, "countPercentile": 6, "medianCount": 108, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 13, "gpaPercentile": 17, "countPercentile": 25, "medianCount": 67, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 6, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 3.355769230769231 ##### count 52 ##### university ###### size 793 ###### gpa Percentile 46 ###### count Percentile 39 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | false | | 3.2–3.6 | 294 | true | | 3.6–4.0 | 241 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 23, "gpaPercentile": 91, "countPercentile": 32, "medianCount": 98, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 3, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 11, "gpaPercentile": 60, "countPercentile": 30, "medianCount": 89, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1114 ##### term 1114 ##### gpa 2.767857142857143 ##### count 56 ##### university ###### size 804 ###### gpa Percentile 5 ###### count Percentile 39 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 53 | true | | 2.8–3.2 | 231 | false | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 28, "countPercentile": 40, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 8, "current": true }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 8, "countPercentile": 38, "medianCount": 76, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": true }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1124 ##### term 1124 ##### gpa 2.6545454545454548 ##### count 55 ##### university ###### size 821 ###### gpa Percentile 2 ###### count Percentile 40 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 39 | true | | 2.8–3.2 | 223 | false | | 3.2–3.6 | 278 | false | | 3.6–4.0 | 280 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 28, "gpaPercentile": 22, "countPercentile": 37, "medianCount": 75, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 11, "current": true }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 8, "countPercentile": 38, "medianCount": 73.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": true }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 2.9662162162162162 ##### count 74 ##### university ###### size 852 ###### gpa Percentile 12 ###### count Percentile 56 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 229 | true | | 3.2–3.6 | 304 | false | | 3.6–4.0 | 287 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 56, "countPercentile": 44, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 19, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 15, "gpaPercentile": 21, "countPercentile": 57, "medianCount": 62, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 2.9558823529411766 ##### count 34 ##### university ###### size 853 ###### gpa Percentile 11 ###### count Percentile 8 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | true | | 3.2–3.6 | 320 | false | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 31, "gpaPercentile": 47, "countPercentile": 7, "medianCount": 77, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 8, "current": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 16, "gpaPercentile": 20, "countPercentile": 7, "medianCount": 44.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 4, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 2.967391304347826 ##### count 46 ##### university ###### size 878 ###### gpa Percentile 13 ###### count Percentile 29 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | true | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 30, "gpaPercentile": 66, "countPercentile": 24, "medianCount": 79, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 19, "current": true }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 46, "countPercentile": 15, "medianCount": 74.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 8, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.09 ##### count 50 ##### university ###### size 918 ###### gpa Percentile 20 ###### count Percentile 35 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 55, "countPercentile": 27, "medianCount": 82, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 20, "gpaPercentile": 26, "countPercentile": 37, "medianCount": 55, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": true }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.217391304347826 ##### count 69 ##### university ###### size 935 ###### gpa Percentile 31 ###### count Percentile 55 ###### median Count 63 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 38 | false | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | true | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 33, "gpaPercentile": 78, "countPercentile": 50, "medianCount": 69, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 10, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 19, "gpaPercentile": 56, "countPercentile": 56, "medianCount": 57, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.3055555555555554 ##### count 54 ##### university ###### size 954 ###### gpa Percentile 36 ###### count Percentile 40 ###### median Count 64.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 350 | true | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 77, "countPercentile": 34, "medianCount": 74.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 20, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 24, "gpaPercentile": 39, "countPercentile": 52, "medianCount": 50.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 2.6594202898550723 ##### count 69 ##### university ###### size 965 ###### gpa Percentile 1 ###### count Percentile 50 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 37 | true | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 32, "gpaPercentile": 13, "countPercentile": 35, "medianCount": 83, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 10, "current": true }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 21, "gpaPercentile": 0, "countPercentile": 50, "medianCount": 69, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": true }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 2.7941176470588234 ##### count 51 ##### university ###### size 991 ###### gpa Percentile 2 ###### count Percentile 35 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 22 | true | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 9, "countPercentile": 26, "medianCount": 66, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 4, "current": true }, { "range": "2.8–3.2", "count": 21, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 0, "countPercentile": 42, "medianCount": 56, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": true }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 2.9150943396226414 ##### count 53 ##### university ###### size 955 ###### gpa Percentile 6 ###### count Percentile 37 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | true | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 32, "gpaPercentile": 55, "countPercentile": 29, "medianCount": 89, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 9, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 22, "gpaPercentile": 14, "countPercentile": 29, "medianCount": 71.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.245614035087719 ##### count 57 ##### university ###### size 1025 ###### gpa Percentile 27 ###### count Percentile 39 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 77, "countPercentile": 31, "medianCount": 80, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 21, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 24, "gpaPercentile": 35, "countPercentile": 26, "medianCount": 65.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.7054794520547945 ##### count 73 ##### university ###### size 1010 ###### gpa Percentile 69 ###### count Percentile 53 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 94, "countPercentile": 46, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 7, "current": false }, { "range": "2.8–3.2", "count": 18, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 71, "countPercentile": 63, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.3304347826086955 ##### count 115 ##### university ###### size 1077 ###### gpa Percentile 33 ###### count Percentile 73 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | true | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 84, "countPercentile": 61, "medianCount": 99, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 24, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 42, "countPercentile": 69, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.3727272727272726 ##### count 55 ##### university ###### size 1040 ###### gpa Percentile 37 ###### count Percentile 40 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | true | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 38, "gpaPercentile": 76, "countPercentile": 35, "medianCount": 71.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 18, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 23, "gpaPercentile": 41, "countPercentile": 14, "medianCount": 79, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 2.9558823529411766 ##### count 68 ##### university ###### size 1102 ###### gpa Percentile 5 ###### count Percentile 50 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 40, "gpaPercentile": 31, "countPercentile": 41, "medianCount": 90.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 24, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 30, "gpaPercentile": 7, "countPercentile": 31, "medianCount": 80.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.432098765432099 ##### count 81 ##### university ###### size 1012 ###### gpa Percentile 13 ###### count Percentile 60 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | true | | 3.6–4.0 | 685 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 29, "gpaPercentile": 32, "countPercentile": 46, "medianCount": 83, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 20, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 8, "countPercentile": 73, "medianCount": 56, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.41 ##### count 100 ##### university ###### size 1111 ###### gpa Percentile 28 ###### count Percentile 67 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 55, "countPercentile": 60, "medianCount": 87, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 18, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 46, "countPercentile": 50, "medianCount": 100, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.2142857142857144 ##### count 49 ##### university ###### size 1157 ###### gpa Percentile 18 ###### count Percentile 35 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 53, "countPercentile": 24, "medianCount": 63, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 29, "countPercentile": 26, "medianCount": 55.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.23728813559322 ##### count 59 ##### university ###### size 1171 ###### gpa Percentile 19 ###### count Percentile 45 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | true | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 58, "countPercentile": 27, "medianCount": 87.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 23, "countPercentile": 31, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.088888888888889 ##### count 45 ##### university ###### size 1216 ###### gpa Percentile 10 ###### count Percentile 29 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | true | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 36, "countPercentile": 33, "medianCount": 69, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 17, "current": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 19, "countPercentile": 23, "medianCount": 60.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.2916666666666665 ##### count 60 ##### university ###### size 1188 ###### gpa Percentile 21 ###### count Percentile 45 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | true | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 65, "countPercentile": 45, "medianCount": 67, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 42, "countPercentile": 29, "medianCount": 67, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.2604166666666665 ##### count 48 ##### university ###### size 1295 ###### gpa Percentile 17 ###### count Percentile 35 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | true | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 60, "countPercentile": 36, "medianCount": 80, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 17, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 34, "gpaPercentile": 24, "countPercentile": 33, "medianCount": 55, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.80327868852459 ##### count 61 ##### university ###### size 1241 ###### gpa Percentile 69 ###### count Percentile 46 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 90, "countPercentile": 48, "medianCount": 68, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 20, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } }, { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 93, "countPercentile": 43, "medianCount": 62, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.3372093023255816 ##### count 43 ##### university ###### size 1333 ###### gpa Percentile 18 ###### count Percentile 26 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 71, "countPercentile": 26, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 20, "current": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 32, "countPercentile": 23, "medianCount": 70.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.316901408450704 ##### count 71 ##### university ###### size 1289 ###### gpa Percentile 19 ###### count Percentile 53 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 63, "countPercentile": 37, "medianCount": 89, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 16, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 28, "gpaPercentile": 30, "countPercentile": 52, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.2641509433962264 ##### count 53 ##### university ###### size 1320 ###### gpa Percentile 14 ###### count Percentile 35 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | true | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 55, "countPercentile": 29, "medianCount": 81, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 18, "current": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 36, "countPercentile": 21, "medianCount": 81, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 2.963235294117647 ##### count 68 ##### university ###### size 1283 ###### gpa Percentile 4 ###### count Percentile 51 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | true | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 42, "gpaPercentile": 27, "countPercentile": 41, "medianCount": 80, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 7, "current": false }, { "range": "2.8–3.2", "count": 17, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 26, "gpaPercentile": 16, "countPercentile": 52, "medianCount": 66, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5662 ###### gpa 3.6802004628724942 ###### top Share 83.08361858149438 ###### count 215 ##### MATH ###### size 136 ###### gpa 3.553939578423762 ###### top Share 75.46096584859458 ###### count 250.5 ##### STAT ###### size 78 ###### gpa 3.588456301053528 ###### top Share 78.0314519400887 ###### count 375.5 #### terms ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ###### MATH ###### size 17 ###### gpa 2.821339129045922 ###### top Share 38.66654769268061 ###### count 133 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### MATH ###### size 22 ###### gpa 2.977459424628873 ###### top Share 44.52710820759676 ###### count 88.5 ###### STAT ###### size 11 ###### gpa 3.1916703213972117 ###### top Share 53.20854008345764 ###### count 60 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### MATH ###### size 19 ###### gpa 2.861322177541941 ###### top Share 40.26350030907326 ###### count 108 ###### STAT ###### size 13 ###### gpa 3.2192958075537375 ###### top Share 55.66253049989985 ###### count 67 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### MATH ###### size 23 ###### gpa 2.9531575824731964 ###### top Share 43.549837152646596 ###### count 98 ###### STAT ###### size 11 ###### gpa 3.2176332921053334 ###### top Share 53.16837069213127 ###### count 89 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### MATH ###### size 26 ###### gpa 2.9090822348911582 ###### top Share 41.14706210117883 ###### count 83.5 ###### STAT ###### size 14 ###### gpa 3.1808388037128617 ###### top Share 54.20460480857422 ###### count 76 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### MATH ###### size 28 ###### gpa 2.9109864595893504 ###### top Share 42.40580272314707 ###### count 75 ###### STAT ###### size 14 ###### gpa 3.2125467513502213 ###### top Share 52.75719815805796 ###### count 73.5 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### MATH ###### size 26 ###### gpa 2.938004331770204 ###### top Share 42.318323348030226 ###### count 83.5 ###### STAT ###### size 15 ###### gpa 3.189466060305169 ###### top Share 53.9092333240668 ###### count 62 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### MATH ###### size 31 ###### gpa 3.009040780059457 ###### top Share 45.87481076818359 ###### count 77 ###### STAT ###### size 16 ###### gpa 3.240435267681857 ###### top Share 58.10171174479488 ###### count 44.5 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### MATH ###### size 30 ###### gpa 2.926152797086596 ###### top Share 42.17363619414386 ###### count 79 ###### STAT ###### size 14 ###### gpa 3.0970281238579784 ###### top Share 51.741770775379614 ###### count 74.5 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### MATH ###### size 34 ###### gpa 3.0803080141506425 ###### top Share 49.72677618758506 ###### count 82 ###### STAT ###### size 20 ###### gpa 3.247281119355238 ###### top Share 58.400370581589016 ###### count 55 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### MATH ###### size 33 ###### gpa 2.9834698949629033 ###### top Share 46.71989715257013 ###### count 69 ###### STAT ###### size 19 ###### gpa 3.247335845906281 ###### top Share 58.329434774225824 ###### count 57 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### MATH ###### size 36 ###### gpa 3.1059509777204544 ###### top Share 50.071044743474 ###### count 74.5 ###### STAT ###### size 24 ###### gpa 3.394300783591793 ###### top Share 65.51183483352922 ###### count 50.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### MATH ###### size 32 ###### gpa 2.995223360849456 ###### top Share 46.38098813836469 ###### count 83 ###### STAT ###### size 21 ###### gpa 3.317795716655057 ###### top Share 62.84642273068802 ###### count 69 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### MATH ###### size 36 ###### gpa 3.098601909983034 ###### top Share 48.67573746500224 ###### count 66 ###### STAT ###### size 25 ###### gpa 3.3324928117291264 ###### top Share 61.945618937548005 ###### count 56 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### MATH ###### size 32 ###### gpa 2.992971960864239 ###### top Share 44.393513280464695 ###### count 89 ###### STAT ###### size 22 ###### gpa 3.3391231320477925 ###### top Share 62.80825113292103 ###### count 71.5 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### MATH ###### size 36 ###### gpa 3.0839531022443034 ###### top Share 48.116975859522796 ###### count 80 ###### STAT ###### size 24 ###### gpa 3.4023821420534044 ###### top Share 65.90044412864664 ###### count 65.5 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### MATH ###### size 36 ###### gpa 3.0650838986714333 ###### top Share 47.42689290604571 ###### count 83.5 ###### STAT ###### size 25 ###### gpa 3.460210558661105 ###### top Share 70.42953406269322 ###### count 70 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### MATH ###### size 39 ###### gpa 3.1003216533236415 ###### top Share 50.01588968281552 ###### count 99 ###### STAT ###### size 27 ###### gpa 3.349790708103796 ###### top Share 62.94637491184082 ###### count 74 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### MATH ###### size 38 ###### gpa 3.133406260873163 ###### top Share 53.17595010634325 ###### count 71.5 ###### STAT ###### size 23 ###### gpa 3.3818127863152334 ###### top Share 66.9295898310719 ###### count 79 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### MATH ###### size 40 ###### gpa 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###### size 39 ###### gpa 3.2083447119296955 ###### top Share 56.75007696473496 ###### count 63 ###### STAT ###### size 32 ###### gpa 3.4861059411832307 ###### top Share 71.46520654148341 ###### count 55.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### MATH ###### size 34 ###### gpa 3.1555898753466907 ###### top Share 53.444319815085976 ###### count 87.5 ###### STAT ###### size 27 ###### gpa 3.4650681869904103 ###### top Share 69.88606041738046 ###### count 74 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### MATH ###### size 43 ###### gpa 3.2486774162409366 ###### top Share 56.56203211471963 ###### count 69 ###### STAT ###### size 32 ###### gpa 3.4024781451477413 ###### top Share 66.63145704464162 ###### count 60.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### MATH ###### size 41 ###### gpa 3.178489266862151 ###### top Share 56.06874885619616 ###### count 67 ###### STAT ###### size 25 ###### gpa 3.396227416481204 ###### top Share 66.8429997070879 ###### count 67 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### MATH ###### size 43 ###### gpa 3.2449031633350183 ###### top Share 58.03783489438137 ###### count 80 ###### STAT ###### size 34 ###### gpa 3.4558758327213903 ###### top Share 69.10154863162224 ###### count 55 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### MATH ###### size 43 ###### gpa 3.228240949537157 ###### top Share 55.86451059486035 ###### count 68 ###### STAT ###### size 29 ###### gpa 3.390846810323202 ###### top Share 64.2629736611174 ###### count 62 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### MATH ###### size 43 ###### gpa 3.185692541204979 ###### top Share 54.14175342403773 ###### count 74 ###### STAT ###### size 32 ###### gpa 3.423918594183889 ###### top Share 68.17668754351217 ###### count 70.5 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### MATH ###### size 39 ###### gpa 3.180435541912479 ###### top Share 53.878371816747475 ###### count 89 ###### STAT ###### size 28 ###### gpa 3.4752654121860003 ###### top Share 68.35873780152826 ###### count 70 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### MATH ###### size 43 ###### gpa 3.2481769276584003 ###### top Share 56.325967864851854 ###### count 81 ###### STAT ###### size 29 ###### gpa 3.415022952129974 ###### top Share 64.95385808199006 ###### count 81 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### MATH ###### size 42 ###### gpa 3.13598176627681 ###### top Share 52.25969905887213 ###### count 80 ###### STAT ###### size 26 ###### gpa 3.343399816676682 ###### top Share 63.23102425546245 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_2abf19fcb50be18e78089a1a", "name": "BRET HANLON", "count": 348, "terms": [ { "term": "1142", "count": 34, "sections": 1, "gpa": 2.9558823529411766 }, { "term": "1144", "count": 46, "sections": 1, "gpa": 2.967391304347826 }, { "term": "1152", "count": 50, "sections": 1, "gpa": 3.09 }, { "term": "1154", "count": 45, "sections": 1, "gpa": 3.2111111111111112 }, { "term": "1164", "count": 69, "sections": 2, "gpa": 2.6594202898550723 }, { "term": "1172", "count": 51, "sections": 1, "gpa": 2.7941176470588234 }, { "term": "1174", "count": 53, "sections": 1, "gpa": 2.9150943396226414 } ] }, { "uid": "instructor_a10182c6e5241212aadf03e5", "name": "BO YANG", "count": 190, "terms": [ { 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"sections": 1, "gpa": 3.341666666666667 }, { "term": "1202", "count": 68, "sections": 1, "gpa": 2.9558823529411766 } ] }, { "uid": "instructor_b0a1c7106c61b36ad2359c37", "name": "NIMAL WICKREMASINGHE", "count": 121, "terms": [ { "term": "1234", "count": 60, "sections": 1, "gpa": 3.2916666666666665 }, { "term": "1244", "count": 61, "sections": 1, "gpa": 3.80327868852459 } ] }, { "uid": "instructor_a1a6312441a09a9ee137f7b1", "name": "GARVESH RASKUTTI", "count": 118, "terms": [ { "term": "1194", "count": 55, "sections": 1, "gpa": 3.3727272727272726 }, { "term": "1212", "count": 63, "sections": 1, "gpa": 3.5317460317460316 } ] }, { "uid": "instructor_65cbac2c9da9e3d3236992ef", "name": "ZHENGJUN ZHANG", "count": 113, "terms": [ { "term": "1074", "count": 24, "sections": 1, "gpa": 3.5625 }, { "term": "1084", "count": 34, "sections": 1, "gpa": 3.426470588235294 }, { "term": "1192", "count": 55, "sections": 1, "gpa": 3.3181818181818183 } ] }, { "uid": "instructor_028f5fb1497f12d2f925d786", "name": "YAZHEN WANG", "count": 111, "terms": [ { "term": "1114", "count": 56, "sections": 1, "gpa": 2.767857142857143 }, { "term": "1124", "count": 55, "sections": 1, "gpa": 2.6545454545454548 } ] }, { "uid": "instructor_8e924d59a99dc4ba0b8501dc", "name": "ZHANG CHUNMING", "count": 109, "terms": [ { "term": "1104", "count": 52, "sections": 1, "gpa": 3.355769230769231 }, { "term": "1182", "count": 57, "sections": 1, "gpa": 3.245614035087719 } ] }, { "uid": "instructor_4e7dcf69a8ea9529cddc6b67", "name": "CECILE ANE", "count": 74, "terms": [ { "term": "1134", "count": 74, "sections": 1, "gpa": 2.9662162162162162 } ] }, { "uid": "instructor_ac940d98fd555bfd1c37966e", "name": "HYUNSEUNG KANG", "count": 73, "terms": [ { "term": "1184", "count": 73, "sections": 1, "gpa": 3.7054794520547945 } ] }, { "uid": "instructor_da7b449a63c6001dd1731f0f", "name": "DEBDEEP PATI", "count": 68, "terms": [ { "term": "1264", "count": 68, "sections": 1, "gpa": 2.963235294117647 } ] }, { "uid": "instructor_9ccfca7f6342a0641304379e", "name": "ANRU ZHANG", "count": 54, "terms": [ { "term": "1162", "count": 54, "sections": 1, "gpa": 3.3055555555555554 } ] }, { "uid": "instructor_0fa00489e3ab3e94b9e52d89", "name": "BRET LARGET", "count": 48, "terms": [ { "term": "1094", "count": 48, "sections": 1, "gpa": 3.1041666666666665 } ] }, { "uid": "instructor_776a80367ac941071d85ded3", "name": "DEREK BEAN", "count": 24, "terms": [ { "term": "1154", "count": 24, "sections": 1, "gpa": 3.2291666666666665 } ] } ] ``` ## following | code | title | | ---------------- | ---------------------------------------------------------- | | ACTSCI 640 | ACTUARIAL STATISTICS FOR RISK MODELING | | ACTSCI 652 | FUNDAMENTALS OF SHORT-TERM ACTUARIAL MODELING | | BMI/STAT 641 | STATISTICAL METHODS FOR CLINICAL TRIALS | | BMI/STAT 642 | STATISTICAL METHODS FOR EPIDEMIOLOGY | | C\&ESOC/SOC 361 | STATISTICS FOR SOCIOLOGISTS II | | C\&ESOC/SOC 365 | DATA MANAGEMENT FOR SOCIAL SCIENCE RESEARCH | | C\&ESOC/SOC 618 | SOCIAL NETWORK ANALYSIS | | COMPSCI/STAT 471 | INTRODUCTION TO COMPUTATIONAL STATISTICS | | ECON/FINANCE 320 | INVESTMENT THEORY | | FINANCE 325 | CORPORATION FINANCE | | FINANCE 330 | DERIVATIVE SECURITIES | | FINANCE 340 | FIXED INCOME SECURITIES | | GENBUS 656 | FOUNDATIONS OF STATISTICAL LEARNING FOR BUSINESS ANALYTICS | | ISYE 320 | SIMULATION AND PROBABILISTIC MODELING | | ISYE 445 | ENGINEERING SUPPLY CHAIN MANAGEMENT FOR LOGISTICS | | ISYE 562 | HUMAN FACTORS OF DATA SCIENCE AND MACHINE LEARNING | | ISYE 575 | INTRODUCTION TO QUALITY ENGINEERING | | ISYE 615 | PRODUCTION SYSTEMS CONTROL | | ISYE 620 | SIMULATION MODELING AND ANALYSIS | | ISYE 625 | LOGISTICS SYSTEMS DESIGN | | ISYE 649 | INTERACTIVE DATA ANALYTICS | | SOC 351 | INTRODUCTION TO SURVEY METHODS FOR SOCIAL RESEARCH | | SOC 375 | INTRODUCTION TO MATHEMATICAL SOCIOLOGY | | SOC 674 | DEMOGRAPHIC TECHNIQUES I | | STAT 303 | R FOR STATISTICS I | | STAT 424 | STATISTICAL EXPERIMENTAL DESIGN | ## projection ### target 1272 ### interval #### lower 2.95 #### upper 3.54 #### coverage 80 #### terms 8 ### gpa 3.248056756189284 ### grades | grade | percentage | | ----- | ------------------ | | A | 32.287308583319465 | | AB | 20.34471316646082 | | B | 30.694336995044267 | | BC | 9.949909005380526 | | C | 2.6519372215154617 | | D | 2.1882872614225803 | | F | 1.883507766856858 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 238 ### same Season true ### historical Range * 3.0888888888888886 * 3.3372093023255816 ### backtest #### terms 8 #### gpa Error 0.14215011499907126 #### mix Error 16.221047933491224