# STAT 602: Statistical Methods II | UW–Madison [View on UW Courses](https://uwcourses.com/courses/STAT_602) ## 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 096b7857167de83adf782680b8199844ac7547fc1bc5d1e1933ea415ee628d83 ### course id STAT 602 ### course uid course\_d2bc347ed5e5c07178b1f567 ### catalog version id f93f13f4216d1ed1c1525d9b62fbbaf0abb2d5d5a34a5605dd752d5a59c3f23e ### course number 602 ### subjects * STAT ### title STATISTICAL METHODS II ### description Provides a thorough grounding in modern statistical methods. The specific learning outcomes for the course are to understand data collection in context (how/why data were collected, key questions under study); explore data by effective graphical and numerical summaries; understand probability concepts and models as tools for studying random phenomena and for statistical inference; analyze data using appropriate, modern statistical models, methods, and software; understand the statistical concepts underlying methods; develop the ability to interpret results and critically evaluate the methods used; communicate data analysis and key findings in context. ### requirements text STAT 601 ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id e26b73eb1c25edf851ae7597eae8d63a3e0f694392e7c29a2d05afb654197889 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary STATISTICAL METHODS II provides a thorough grounding in modern statistical methods, focusing on data analysis, interpretation, and communication. ### llm topics * Data collection in context * Graphical and numerical data summaries * Probability concepts and models for statistical inference * Modern statistical models and methods ### llm skills * Analyze data using modern statistical models and software * Interpret results and critically evaluate statistical methods * Communicate data analysis and key findings ### llm assumed background * Graduate/professional standing or declared in Statistics VISP * Foundational statistical methods including data collection, graphical summaries, probability, and basic statistical modeling ### llm search phrases * STAT 602 statistical methods II * advanced statistical analysis graduate * STAT 601 prerequisite * modern statistical methods software ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash eed3ac666f7b2df99b3890a8f1d33a0a8bb3856fca4765475842db7c4e1d2081 #### course id STAT 602 #### current instructors None recorded. #### difficulty workload Historical reviews of Wei-Yin Loh: Exams are described as tricky and hard, requiring preparation despite a lack of clear connection between homework, lectures, and exam content. ```json { "citations": [ { "instructor_name": "Wei-Yin Loh", "review_date": "2019-06-12 10:22:37 +0000 UTC", "review_id": "1d36c2add2f9dc97bd7a0cab", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:371080", "source_review_id": "UmF0aW5nLTMyMDE5ODY5", "source_url": "https://www.ratemyprofessors.com/professor/371080", "type": "review" }, { "instructor_name": "Wei-Yin Loh", "review_date": "2022-03-26 17:09:36 +0000 UTC", "review_id": "9ed76393956c6001a72d8739", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:371080", "source_review_id": "UmF0aW5nLTM1OTc4ODgx", "source_url": "https://www.ratemyprofessors.com/professor/371080", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Wei-Yin Loh: Wei-Yin Loh's STAT 602 reviews highlight significant disconnects between lectures and exams. Reviewers describe the exams as tricky and difficult, particularly for non-statistics majors, with little connection to the taught material. ```json { "citations": [ { "instructor_name": "Wei-Yin Loh", "review_date": "2019-06-12 10:22:37 +0000 UTC", "review_id": "1d36c2add2f9dc97bd7a0cab", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:371080", "source_review_id": "UmF0aW5nLTMyMDE5ODY5", "source_url": "https://www.ratemyprofessors.com/professor/371080", "type": "review" }, { "instructor_name": "Wei-Yin Loh", "review_date": "2022-03-26 17:09:36 +0000 UTC", "review_id": "9ed76393956c6001a72d8739", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:371080", "source_review_id": "UmF0aW5nLTM1OTc4ODgx", "source_url": "https://www.ratemyprofessors.com/professor/371080", "type": "review" } ] } ``` #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Historical reviews of Wei-Yin Loh: Students report Wei-Yin Loh's STAT 602 as difficult, with exams that feel disconnected from homework and lectures, particularly challenging for non-statistics majors. ```json { "citations": [ { "instructor_name": "Wei-Yin Loh", "review_date": "2019-06-12 10:22:37 +0000 UTC", "review_id": "1d36c2add2f9dc97bd7a0cab", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:371080", "source_review_id": "UmF0aW5nLTMyMDE5ODY5", "source_url": "https://www.ratemyprofessors.com/professor/371080", "type": "review" }, { "instructor_name": "Wei-Yin Loh", "review_date": "2022-03-26 17:09:36 +0000 UTC", "review_id": "9ed76393956c6001a72d8739", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:371080", "source_review_id": "UmF0aW5nLTM1OTc4ODgx", "source_url": "https://www.ratemyprofessors.com/professor/371080", "type": "review" } ] } ``` Recent recorded grades — Spring 2020: 3.84 GPA, 94.0% A/AB (n=67 letter grades); Fall 2021: 4.00 GPA, 100.0% A/AB (n=10 letter grades); Spring 2022: 3.91 GPA, 100.0% A/AB (n=58 letter grades). ```json { "citations": [ { "course_id": "STAT 602", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7688b663-513f-3185-bd34-7367699e2d96", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "STAT 602", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7688b663-513f-3185-bd34-7367699e2d96", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "STAT 602", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7688b663-513f-3185-bd34-7367699e2d96", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1224", "type": "grade" } ] } ``` #### student experience Historical reviews of Wei-Yin Loh: Lectures are perceived as irrelevant to exam topics, leaving students confused about the material, especially those without a statistics background. ```json { "citations": [ { "instructor_name": "Wei-Yin Loh", "review_date": "2022-03-26 17:09:36 +0000 UTC", "review_id": "9ed76393956c6001a72d8739", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:371080", "source_review_id": "UmF0aW5nLTM1OTc4ODgx", "source_url": "https://www.ratemyprofessors.com/professor/371080", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history WEI-YIN LOH is recorded teaching in Spring 2016, Spring 2018, Spring 2019, Spring 2020, Spring 2022. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 602", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7688b663-513f-3185-bd34-7367699e2d96", "source_record": { "entity_id": "7688b663-513f-3185-bd34-7367699e2d96", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "STAT 602", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7688b663-513f-3185-bd34-7367699e2d96", "source_record": { "entity_id": "7688b663-513f-3185-bd34-7367699e2d96", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "STAT 602", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7688b663-513f-3185-bd34-7367699e2d96", "source_record": { "entity_id": "7688b663-513f-3185-bd34-7367699e2d96", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "STAT 602", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7688b663-513f-3185-bd34-7367699e2d96", "source_record": { "entity_id": "7688b663-513f-3185-bd34-7367699e2d96", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "STAT 602", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7688b663-513f-3185-bd34-7367699e2d96", "source_record": { "entity_id": "7688b663-513f-3185-bd34-7367699e2d96", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": null, "course": { "course_number": 601, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 601", "id": "n0", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_20bff09bd8c7abcebab15a2f", "source": "madgrades", "source_instructor_id": "2602108", "identity_basis": "source_id", "identity_status": "source_identified", "name": "WEI-YIN LOH", "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": 24, "quality": 3.62, "difficulty": 3.71, "quality_count": 24, "difficulty_count": 24, "profile_id": "rmp:371080", "source_url": "https://www.ratemyprofessors.com/professor/371080", "match_basis": "exact_name", "observed_at": "2026-09-07 15:59:34.335211+00:00", "courses": { "course_3c746e3add116a6aa2b49441": { "review_count": 4, "quality": 4.25, "difficulty": 4, "quality_count": 4, "difficulty_count": 4 }, "course_bbb14bdd283ccb9368b888c2": { "review_count": 3, "quality": 2, "difficulty": 3.67, "quality_count": 3, "difficulty_count": 3 }, "course_d2bc347ed5e5c07178b1f567": { "review_count": 2, "quality": 2, "difficulty": 4.5, "quality_count": 2, "difficulty_count": 2 }, "course_2c47f118c8b20b84e9ca9d5d": { "review_count": 1, "quality": 3, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 }, "course_1ea543c8a9e3b7f76f3a2d83": { "review_count": 1, "quality": 4, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_096be5272e913d9005e3298b": { "review_count": 2, "quality": 4.5, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.63803899252118, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.512, "graded": 1421, "counts": [ 632, 434, 239, 45, 52, 10, 9 ], "sections": 82 }, "instructor_url": "/instructors/WEI-YIN_LOH--instructor_20bff09bd8c7abcebab15a2f" }, { "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_37a7f7533ff672c5e16425d1", "source": "madgrades", "source_instructor_id": "4728474", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MIAOYAN WANG", "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": 3.627, "graded": 272, "counts": [ 118, 111, 42, 0, 0, 0, 1 ], "sections": 22 }, "instructor_url": "/instructors/MIAOYAN_WANG--instructor_37a7f7533ff672c5e16425d1" }, { "instructor_uid": "instructor_cde4e8c99f184b699236bc13", "source": "madgrades", "source_instructor_id": "6243364", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MOHAMED ELKHOULY", "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": 13, "quality": 3.38, "difficulty": 3.54, "quality_count": 13, "difficulty_count": 13, "profile_id": "rmp:2518878", "source_url": "https://www.ratemyprofessors.com/professor/2518878", "match_basis": "exact_name", "observed_at": "2026-09-07 16:16:43.632205+00:00", "courses": { "course_31fb5b7b6bf20ca63e33bd46": { "review_count": 6, "quality": 2.33, "difficulty": 3.5, "quality_count": 6, "difficulty_count": 6 }, "course_ef9c9cd4a7d8002288a4cf7c": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.549506535482785, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.525, "graded": 394, "counts": [ 236, 63, 43, 21, 17, 9, 5 ], "sections": 6 }, "instructor_url": "/instructors/MOHAMED_ELKHOULY--instructor_cde4e8c99f184b699236bc13" }, { "instructor_uid": "instructor_adaa4a02e24050ee4c903cba", "source": "madgrades", "source_instructor_id": "6400522", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MIRANDA RINTOUL", "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": 3.129, "graded": 2876, "counts": [ 1063, 404, 563, 311, 367, 132, 36 ], "sections": 28 }, "instructor_url": "/instructors/MIRANDA_RINTOUL--instructor_adaa4a02e24050ee4c903cba" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 602", "course_uid": "course_d2bc347ed5e5c07178b1f567", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "Wei-Yin Loh" ], "a": 16, "ab": 14, "b": 14, "bc": 0, "c": 0, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 45, "source_aliases": [ "STAT 602" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 602", "course_uid": "course_d2bc347ed5e5c07178b1f567", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "Zheng Zhang" ], "a": 16, "ab": 22, "b": 9, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 47, "source_aliases": [ "STAT 602" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 602", "course_uid": "course_d2bc347ed5e5c07178b1f567", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Wei-Yin Loh" ], "a": 15, "ab": 14, "b": 14, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 44, "source_aliases": [ "STAT 602" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 602", "course_uid": "course_d2bc347ed5e5c07178b1f567", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Miaoyan Wang", "Wei-Yin Loh" ], "a": 36, "ab": 39, "b": 4, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 79, "source_aliases": [ "STAT 602" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 602", "course_uid": "course_d2bc347ed5e5c07178b1f567", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "MOHAMED ELKHOULY", "Wei-Yin Loh" ], "a": 49, "ab": 14, "b": 4, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 69, "source_aliases": [ "STAT 602" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 602", "course_uid": "course_d2bc347ed5e5c07178b1f567", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Miaoyan Wang" ], "a": 10, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 10, "source_aliases": [ "STAT 602" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 602", "course_uid": "course_d2bc347ed5e5c07178b1f567", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Miranda Rintoul", "Wei-Yin Loh" ], "a": 47, "ab": 11, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 58, "source_aliases": [ "STAT 602" ] } ] ``` ### statistics #### gpa 3.689 #### graded 350 #### counts * 189 * 114 * 45 * 0 * 0 * 1 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_d2bc347ed5e5c07178b1f567-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_d2bc347ed5e5c07178b1f567-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_d2bc347ed5e5c07178b1f567-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_d2bc347ed5e5c07178b1f567-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_d2bc347ed5e5c07178b1f567-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_d2bc347ed5e5c07178b1f567-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_d2bc347ed5e5c07178b1f567-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_d2bc347ed5e5c07178b1f567-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.6885714285714286 #### count 350 #### university ##### size 3206 ##### gpa Percentile 48 ##### count Percentile 81 ##### median Count 104 ##### 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 | 20 | false | | 2.8–3.2 | 281 | false | | 3.2–3.6 | 924 | false | | 3.6–4.0 | 1981 | true | #### departments ```json [ { "subject": "STAT", "comparison": { "size": 58, "gpaPercentile": 51, "countPercentile": 68, "medianCount": 133.5, "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": 18, "current": false }, { "range": "3.6–4.0", "count": 33, "current": true } ] } } ] ``` ### terms #### 1164 ##### term 1164 ##### gpa 3.466666666666667 ##### count 45 ##### university ###### size 965 ###### gpa Percentile 47 ###### count Percentile 29 ###### 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 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 21, "gpaPercentile": 70, "countPercentile": 20, "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": 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": 4, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.574468085106383 ##### count 47 ##### university ###### size 955 ###### gpa Percentile 60 ###### count Percentile 29 ###### 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 | false | | 3.2–3.6 | 332 | true | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 22, "gpaPercentile": 76, "countPercentile": 24, "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": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.4318181818181817 ##### count 44 ##### university ###### size 1010 ###### gpa Percentile 43 ###### count Percentile 25 ###### 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 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 50, "countPercentile": 21, "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": 8, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.7025316455696204 ##### count 79 ##### university ###### size 1040 ###### gpa Percentile 67 ###### count Percentile 58 ###### 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 | false | | 3.6–4.0 | 454 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 23, "gpaPercentile": 82, "countPercentile": 50, "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": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.8358208955223883 ##### count 67 ##### university ###### size 1012 ###### gpa Percentile 63 ###### count Percentile 51 ###### 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 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 73, "countPercentile": 58, "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": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 4 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1224 ##### term 1224 ##### gpa 3.9051724137931036 ##### count 58 ##### university ###### size 1171 ###### gpa Percentile 83 ###### count Percentile 44 ###### 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 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 88, "countPercentile": 27, "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": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 3206 ###### gpa 3.6480829026983055 ###### top Share 81.32344144789441 ###### count 104 ##### STAT ###### size 58 ###### gpa 3.6166746649814616 ###### top Share 79.92215355563177 ###### count 133.5 #### terms ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### STAT ###### size 21 ###### gpa 3.317795716655057 ###### top Share 62.84642273068802 ###### count 69 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### STAT ###### size 22 ###### gpa 3.3391231320477925 ###### top Share 62.80825113292103 ###### count 71.5 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### STAT ###### size 25 ###### gpa 3.460210558661105 ###### top Share 70.42953406269322 ###### count 70 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### STAT ###### size 23 ###### gpa 3.3818127863152334 ###### top Share 66.9295898310719 ###### count 79 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### STAT ###### size 27 ###### gpa 3.6537351147420534 ###### top Share 80.87794592686507 ###### count 56 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### 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 ###### STAT ###### size 27 ###### gpa 3.4650681869904103 ###### top Share 69.88606041738046 ###### count 74 ## instructor Trends ```json [ { "uid": "instructor_20bff09bd8c7abcebab15a2f", "name": "WEI-YIN LOH", "count": 191, "terms": [ { "term": "1164", "count": 45, "sections": 1, "gpa": 3.466666666666667 }, { "term": "1184", "count": 44, "sections": 1, "gpa": 3.4318181818181817 }, { "term": "1194", "count": 49, "sections": 1, "gpa": 3.704081632653061 }, { "term": "1204", "count": 34, "sections": 1, "gpa": 3.75 }, { "term": "1224", "count": 19, "sections": 1, "gpa": 3.8157894736842106 } ] }, { "uid": "instructor_65cbac2c9da9e3d3236992ef", "name": "ZHENGJUN ZHANG", "count": 47, "terms": [ { "term": "1174", "count": 47, "sections": 1, "gpa": 3.574468085106383 } ] }, { "uid": "instructor_37a7f7533ff672c5e16425d1", "name": "MIAOYAN WANG", "count": 40, "terms": [ { "term": "1194", "count": 30, "sections": 1, "gpa": 3.7 }, { "term": "1222", "count": 10, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_adaa4a02e24050ee4c903cba", "name": "MIRANDA RINTOUL", "count": 39, "terms": [ { "term": "1224", "count": 39, "sections": 1, "gpa": 3.948717948717949 } ] }, { "uid": "instructor_cde4e8c99f184b699236bc13", "name": "MOHAMED ELKHOULY", "count": 33, "terms": [ { "term": "1204", "count": 33, "sections": 1, "gpa": 3.9242424242424243 } ] } ] ``` ## following None recorded.