# STAT 411: An Introduction to Sample Survey Theory and Methods | UW–Madison [View on UW Courses](https://uwcourses.com/courses/STAT_411) ## 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 90c144becddb4ae2dfc74a35af0d89efb4f330698ad4eeff057df1490783b5e4 ### course id STAT 411 ### course uid course\_6b7aab75b588f1c0195bbee5 ### catalog version id 466e791bf3a45a6727a4f77361ff24578a6973aa902b6a7fba33871f022ec684 ### course number 411 ### subjects * STAT ### title AN INTRODUCTION TO SAMPLE SURVEY THEORY AND METHODS ### description An introduction to the methods used to design sample surveys and analyze the results. Topics covered include: basic tools, simple random sampling, ratio and regression estimation, stratification, systematic sampling, cluster (area) sampling, two-stage sampling, unequal probability sampling, non-sampling errors, and missing data. For illustration and clarification, examples are drawn from diverse areas of application. ### requirements text STAT 333,340, graduate/professional standing, or declared in Statistics VISP ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 4fc347fb1f8c4ff76ff5ea1943faaa54d897bbb3a435afc40af831add0addfb0 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary STAT 411 introduces sample survey theory and methods, covering design, estimation, and analysis techniques. ### llm topics * Sampling methods and estimation techniques. * Non-sampling errors and missing data handling. ### llm skills * Designing sample surveys. * Applying various sampling techniques and estimation methods. ### llm assumed background * Proficiency in the R programming language for data analysis. * Foundational knowledge of statistical theory, including regression, probability, and hypothesis testing. ### llm search phrases * sample survey design * sampling methods * survey analysis * STAT 411 * ratio estimation * stratification * cluster sampling ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash df6b1f63b0ae1a66e66b92c2564e631851d82e0d0c07ed02bda460240e0f799e #### course id STAT 411 #### current instructors None recorded. #### difficulty workload Historical reviews of Erik Nordheim: Nordheim is described as tough, expecting students to know the material he teaches. ```json { "citations": [ { "instructor_name": "Erik Nordheim", "review_date": "2007-05-17 21:01:18 +0000 UTC", "review_id": "342d122785419a49911a9b3a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:189930", "source_review_id": "UmF0aW5nLTEzMTgyMTYw", "source_url": "https://www.ratemyprofessors.com/professor/189930", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Erik Nordheim describe him as a clear instructor who welcomes questions and expects students to know the material. Reviewers note he is tough but fair, with one student finding his teaching engaging and award-winning. ```json { "citations": [ { "instructor_name": "Erik Nordheim", "review_date": "2007-05-17 21:01:18 +0000 UTC", "review_id": "342d122785419a49911a9b3a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:189930", "source_review_id": "UmF0aW5nLTEzMTgyMTYw", "source_url": "https://www.ratemyprofessors.com/professor/189930", "type": "review" } ] } ``` #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Historical reviews for Erik Nordheim describe a clear, fair instructor who makes statistics engaging and is highly recommended. ```json { "citations": [ { "instructor_name": "Erik Nordheim", "review_date": "2007-05-17 21:01:18 +0000 UTC", "review_id": "342d122785419a49911a9b3a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:189930", "source_review_id": "UmF0aW5nLTEzMTgyMTYw", "source_url": "https://www.ratemyprofessors.com/professor/189930", "type": "review" } ] } ``` Recent recorded grades — Fall 2018: 3.42 GPA, 68.0% A/AB (n=50 letter grades); Fall 2019: 3.01 GPA, 46.9% A/AB (n=49 letter grades); Fall 2023: 3.69 GPA, 87.5% A/AB (n=24 letter grades). ```json { "citations": [ { "course_id": "STAT 411", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "5b0d87cf-b4d4-3d63-bfdb-cb4800c00486", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "STAT 411", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "5b0d87cf-b4d4-3d63-bfdb-cb4800c00486", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "STAT 411", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "5b0d87cf-b4d4-3d63-bfdb-cb4800c00486", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" } ] } ``` #### student experience Historical reviews of Erik Nordheim: Students find his teaching fun and appreciate that he is clear and welcomes questions. ```json { "citations": [ { "instructor_name": "Erik Nordheim", "review_date": "2007-05-17 21:01:18 +0000 UTC", "review_id": "342d122785419a49911a9b3a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:189930", "source_review_id": "UmF0aW5nLTEzMTgyMTYw", "source_url": "https://www.ratemyprofessors.com/professor/189930", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ERIK NORDHEIM is recorded teaching in Spring 2007, Spring 2008, Spring 2013, Spring 2015. 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2.6, "quality_count": 5, "difficulty_count": 5 } }, "bayesian_quality": 3.247024678307997, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.625, "graded": 550, "counts": [ 326, 117, 69, 19, 11, 4, 4 ], "sections": 12 }, "instructor_url": "/instructors/NIMAL_WICKREMASINGHE--instructor_b0a1c7106c61b36ad2359c37" }, { "instructor_uid": "instructor_d911e81172ca74125afc3724", "source": "madgrades", "source_instructor_id": "5611098", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RODDY TAING", "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": 3.353, "graded": 95, "counts": [ 47, 17, 16, 6, 3, 2, 4 ], "sections": 3 }, "instructor_url": "/instructors/RODDY_TAING--instructor_d911e81172ca74125afc3724" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 411", "course_uid": "course_6b7aab75b588f1c0195bbee5", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "ERIK NORDHEIM" ], "a": 4, "ab": 6, "b": 4, "bc": 1, "c": 0, "d": 0, "f": 1, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 17, "source_aliases": [ "STAT 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 411", "course_uid": "course_6b7aab75b588f1c0195bbee5", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "ERIK NORDHEIM" ], "a": 7, "ab": 8, "b": 2, "bc": 2, "c": 1, "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": 20, "source_aliases": [ "STAT 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 411", "course_uid": "course_6b7aab75b588f1c0195bbee5", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "NICHOLAS STEPHEN KEULER" ], "a": 6, "ab": 2, "b": 5, "bc": 2, "c": 5, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 22, "source_aliases": [ "STAT 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 411", "course_uid": "course_6b7aab75b588f1c0195bbee5", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "NICHOLAS STEPHEN KEULER" ], "a": 5, "ab": 2, "b": 6, "bc": 2, "c": 4, "d": 3, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 23, "source_aliases": [ "STAT 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 411", "course_uid": "course_6b7aab75b588f1c0195bbee5", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "NICHOLAS STEPHEN KEULER" ], "a": 6, "ab": 2, "b": 5, "bc": 4, "c": 6, "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": 23, "source_aliases": [ "STAT 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 411", "course_uid": "course_6b7aab75b588f1c0195bbee5", "term_id": "1134", "term_name": "Spring 2013", "instructors": [ "ERIK NORDHEIM" ], "a": 12, "ab": 14, "b": 8, "bc": 3, "c": 1, "d": 0, "f": 0, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 41, "source_aliases": [ "STAT 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 411", "course_uid": "course_6b7aab75b588f1c0195bbee5", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "Jun Shao" ], "a": 6, "ab": 3, "b": 5, "bc": 0, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 18, "source_aliases": [ "STAT 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 411", "course_uid": "course_6b7aab75b588f1c0195bbee5", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "ERIK NORDHEIM" ], "a": 15, "ab": 17, "b": 14, "bc": 2, "c": 1, "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": 50, "source_aliases": [ "STAT 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 411", "course_uid": "course_6b7aab75b588f1c0195bbee5", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Bo Yang", "YONGJOON KIM" ], "a": 22, "ab": 12, "b": 9, "bc": 4, "c": 2, "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": 50, "source_aliases": [ "STAT 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 411", "course_uid": "course_6b7aab75b588f1c0195bbee5", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Bo Yang", "WENZHI CAO" ], "a": 17, "ab": 6, "b": 6, "bc": 9, "c": 9, "d": 0, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 49, "source_aliases": [ "STAT 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 411", "course_uid": "course_6b7aab75b588f1c0195bbee5", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "NIMAL WICKREMASINGHE", "Roddy Taing" ], "a": 19, "ab": 2, "b": 1, "bc": 1, "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": 24, "source_aliases": [ "STAT 411" ] } ] ``` ### statistics #### gpa 3.252 #### graded 330 #### counts * 119 * 74 * 65 * 30 * 31 * 6 * 5 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_6b7aab75b588f1c0195bbee5-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_6b7aab75b588f1c0195bbee5-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_6b7aab75b588f1c0195bbee5-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_6b7aab75b588f1c0195bbee5-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_6b7aab75b588f1c0195bbee5-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_6b7aab75b588f1c0195bbee5-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_6b7aab75b588f1c0195bbee5-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_6b7aab75b588f1c0195bbee5-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.2515151515151515 #### count 330 #### university ##### size 3721 ##### gpa Percentile 15 ##### count Percentile 77 ##### median Count 119 ##### 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 | 30 | false | | 2.8–3.2 | 429 | false | | 3.2–3.6 | 1177 | true | | 3.6–4.0 | 2084 | false | #### departments ```json [ { "subject": "STAT", "comparison": { "size": 52, "gpaPercentile": 27, "countPercentile": 63, "medianCount": 177, "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": 12, "current": false }, { "range": "3.2–3.6", "count": 19, "current": true }, { "range": "3.6–4.0", "count": 21, "current": false } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.21875 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1084 ##### term 1084 ##### gpa 3.45 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1104 ##### term 1104 ##### gpa 2.8636363636363638 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1114 ##### term 1114 ##### gpa 2.772727272727273 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1124 ##### term 1124 ##### gpa 2.9565217391304346 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1134 ##### term 1134 ##### gpa 3.4342105263157894 ##### count 38 ##### university ###### size 852 ###### gpa Percentile 52 ###### count Percentile 17 ###### 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 | false | | 3.2–3.6 | 304 | true | | 3.6–4.0 | 287 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 15, "gpaPercentile": 79, "countPercentile": 0, "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": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.34375 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1154 ##### term 1154 ##### gpa 3.39 ##### count 50 ##### university ###### size 935 ###### gpa Percentile 45 ###### count Percentile 36 ###### 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": "STAT", "comparison": { "size": 19, "gpaPercentile": 72, "countPercentile": 33, "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 } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.42 ##### count 50 ##### university ###### size 1077 ###### gpa Percentile 39 ###### count Percentile 34 ###### 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": "STAT", "comparison": { "size": 27, "gpaPercentile": 58, "countPercentile": 15, "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 } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.010204081632653 ##### count 49 ##### university ###### size 1102 ###### gpa Percentile 8 ###### count Percentile 33 ###### 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": "STAT", "comparison": { "size": 30, "gpaPercentile": 17, "countPercentile": 17, "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 } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.6875 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | ### benchmarks #### all ##### school ###### size 3721 ###### gpa 3.603299647716115 ###### top Share 78.36916229958844 ###### count 119 ##### STAT ###### size 52 ###### gpa 3.497550229444845 ###### top Share 72.0137649840993 ###### count 177 #### terms ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### STAT ###### size 11 ###### gpa 3.1916703213972117 ###### top Share 53.20854008345764 ###### count 60 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### 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 ###### 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 ###### 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 ###### 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 ###### STAT ###### size 16 ###### gpa 3.240435267681857 ###### top Share 58.10171174479488 ###### count 44.5 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### STAT ###### size 19 ###### gpa 3.247335845906281 ###### top Share 58.329434774225824 ###### count 57 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### STAT ###### size 27 ###### gpa 3.349790708103796 ###### top Share 62.94637491184082 ###### count 74 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### STAT ###### size 30 ###### gpa 3.4022744829589433 ###### top Share 67.29048111947832 ###### count 80.5 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### STAT ###### size 34 ###### gpa 3.4558758327213903 ###### top Share 69.10154863162224 ###### count 55 ## instructor Trends ```json [ { "uid": "instructor_eb848532d738676e48012f61", "name": "ERIK NORDHEIM", "count": 124, "terms": [ { "term": "1074", "count": 16, "sections": 1, "gpa": 3.21875 }, { "term": "1084", "count": 20, "sections": 1, "gpa": 3.45 }, { "term": "1134", "count": 38, "sections": 1, "gpa": 3.4342105263157894 }, { "term": "1154", "count": 50, "sections": 1, "gpa": 3.39 } ] }, { "uid": "instructor_a10182c6e5241212aadf03e5", "name": "BO YANG", "count": 99, "terms": [ { "term": "1192", "count": 50, "sections": 1, "gpa": 3.42 }, { "term": "1202", "count": 49, "sections": 1, "gpa": 3.010204081632653 } ] }, { "uid": "instructor_2046459e5630973d60ed2b15", "name": "NICHOLAS STEPHEN KEULER", "count": 67, "terms": [ { "term": "1104", "count": 22, "sections": 1, "gpa": 2.8636363636363638 }, { "term": "1114", "count": 22, "sections": 1, "gpa": 2.772727272727273 }, { "term": "1124", "count": 23, "sections": 1, "gpa": 2.9565217391304346 } ] }, { "uid": "instructor_d2e0d31ad8602e6e750ab370", "name": "YONGJOON KIM", "count": 50, "terms": [ { "term": "1192", "count": 50, "sections": 1, "gpa": 3.42 } ] }, { "uid": "instructor_9a33060e8ac4f29ac9c6348a", "name": "WENZHI CAO", "count": 49, "terms": [ { "term": "1202", "count": 49, "sections": 1, "gpa": 3.010204081632653 } ] }, { "uid": "instructor_b0a1c7106c61b36ad2359c37", "name": "NIMAL WICKREMASINGHE", "count": 24, "terms": [ { "term": "1242", "count": 24, "sections": 2, "gpa": 3.6875 } ] }, { "uid": "instructor_d911e81172ca74125afc3724", "name": "RODDY TAING", "count": 24, "terms": [ { "term": "1242", "count": 24, "sections": 2, "gpa": 3.6875 } ] }, { "uid": "instructor_6ef6ba5b00788b0ab8154cde", "name": "JUN SHAO", "count": 16, "terms": [ { "term": "1142", "count": 16, "sections": 1, "gpa": 3.34375 } ] } ] ``` ## following None recorded.