# BME 325: Applied Statistics for Biomedical Engineers | UW–Madison [View on UW Courses](https://uwcourses.com/courses/BME_325) ## 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 1815f9007682e9781d7eecf7618bfc848b5d640906757b6aa2d02027a6c2ca0a ### course id BME 325 ### course uid course\_9ea08d141645e8e3a95d2869 ### catalog version id 13d9917349d7288a138b5a1c993b79ba73bf6cdd0223d5175269878cb8c362cc ### course number 325 ### subjects * BME ### title APPLIED STATISTICS FOR BIOMEDICAL ENGINEERS ### description Learn and apply the fundamentals of descriptive and inferential statistics to analyze data and present the results in appropriate graphical formats. Emphasis will be on applications commonly encountered in biomedical engineering including t-tests, linear regression, analysis of variance, diagnostic tests, ROC curves, and methods for graphing and presenting data. Examples and practice problems will be drawn from biomedical research. Learn how to analyze data and interpret statistical analysis presented in research papers, and will get practical hands-on experience implementing these tools during class in a computer lab setting. ### requirements text Declared in Biomedical Engineering andMATH 222 ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id ef3704fd1a39ae9113eac37688642423d7f9bdd90fedab36bba9a85e1ccf95fd ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Applied statistics for biomedical engineers, covering descriptive and inferential methods like t-tests, regression, and ANOVA with practical lab implementation. ### llm topics * t-tests, linear regression, analysis of variance (ANOVA), diagnostic tests, ROC curves. * Biomedical research applications. ### llm skills * Descriptive and inferential statistics application. * Statistical methods: t-tests, linear regression, ANOVA, diagnostic tests, ROC curves. * Data analysis, interpretation of research papers, and practical implementation in a computer lab. ### llm assumed background * Calculus and analytic geometry fundamentals including integration, differential equations, and series. ### llm search phrases * biomedical statistics * t-tests biomedical engineering * ANOVA ROC curves * MATH 222 prerequisite statistics ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 92c5312b9a48646d48d0bff530cf30a1642722f3ea8beef98ea6e8b4bfd593bd #### course id BME 325 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 672f506f2fc2f46a071b9777f4a92cc197b2ccdeef25590e9285146d8c7e7f90 #### quick take Recent recorded grades — Spring 2024: 3.73 GPA, 88.3% A/AB (n=60 letter grades); Spring 2025: 3.78 GPA, 91.3% A/AB (n=69 letter grades); Spring 2026: 3.84 GPA, 90.4% A/AB (n=83 letter grades). ```json { "citations": [ { "course_id": "BME 325", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "dddb7b20-9812-3823-a9a7-bfe41fe0c762", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "BME 325", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "dddb7b20-9812-3823-a9a7-bfe41fe0c762", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BME 325", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "dddb7b20-9812-3823-a9a7-bfe41fe0c762", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "Declared in Biomedical Engineering andMATH 222", "id": "n0", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 222, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 222", "id": "n1", "kind": "course" }, { "children": [], "condition": "Declared in Biomedical Engineering", "course": null, "evidence": "Declared in Biomedical Engineering", "id": "n2", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_3f1591237c87cf6e2cc955a0", "source": "madgrades", "source_instructor_id": "5285346", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JEREMY ROGERS", "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": 3.736, "graded": 533, "counts": [ 318, 154, 57, 3, 1, 0, 0 ], "sections": 32 }, "instructor_url": "/instructors/JEREMY_ROGERS--instructor_3f1591237c87cf6e2cc955a0" }, { "instructor_uid": "instructor_f13670744d62c215edab047c", "source": "madgrades", "source_instructor_id": "5579048", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SIDDHANT JAIN", "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", 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"identity_status": "source_identified", "name": "ALEX LI", "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": 3.725, "graded": 60, "counts": [ 42, 11, 5, 0, 1, 0, 1 ], "sections": 1 }, "instructor_url": "/instructors/ALEX_LI" }, { "instructor_uid": "instructor_e9fa347e5d7f8e33d088217e", "source": "madgrades", "source_instructor_id": "6156834", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ROXI REUTER", "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": 3.783, "graded": 69, "counts": [ 49, 14, 4, 0, 2, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/ROXI_REUTER--instructor_e9fa347e5d7f8e33d088217e" }, { "instructor_uid": "instructor_252ede45936f4202b00ed590", "source": "madgrades", "source_instructor_id": "6258053", "identity_basis": "source_id", "identity_status": "source_identified", "name": "AIDANA BEISENOVA", "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": 3.885, "graded": 117, "counts": [ 102, 7, 5, 2, 1, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/AIDANA_BEISENOVA" }, { "instructor_uid": "instructor_36fb9b9cf175e581b2121931", "source": "madgrades", "source_instructor_id": "6254397", "identity_basis": "source_id", "identity_status": "source_identified", "name": "WIHAN ADI", "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": 3.846, "graded": 94, "counts": [ 77, 9, 5, 2, 1, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/WIHAN_ADI--instructor_36fb9b9cf175e581b2121931" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BME 325", "course_uid": "course_9ea08d141645e8e3a95d2869", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Jeremy Rogers" ], "a": 16, "ab": 9, "b": 4, "bc": 1, "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": 30, "source_aliases": [ "BME 325" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BME 325", "course_uid": "course_9ea08d141645e8e3a95d2869", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Jeremy Rogers", "SIDDHANT JAIN" ], "a": 70, "ab": 17, "b": 9, "bc": 1, "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": 98, "source_aliases": [ "BME 325" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BME 325", "course_uid": "course_9ea08d141645e8e3a95d2869", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Darilis Suarez-Gonzalez", "Justin Williams", "NICHOLAS PAULY" ], "a": 35, "ab": 9, "b": 8, "bc": 0, "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": 53, "source_aliases": [ "BME 325" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BME 325", "course_uid": "course_9ea08d141645e8e3a95d2869", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Darilis Suarez-Gonzalez", "SYDNEY HEIMER" ], "a": 41, "ab": 5, "b": 5, "bc": 0, "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": 53, "source_aliases": [ "BME 325" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BME 325", "course_uid": "course_9ea08d141645e8e3a95d2869", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "ALEX LI", "Darilis Suarez-Gonzalez" ], "a": 42, "ab": 11, "b": 5, "bc": 0, "c": 1, "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": 60, "source_aliases": [ "BME 325" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BME 325", "course_uid": "course_9ea08d141645e8e3a95d2869", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Darilis Suarez-Gonzalez", "ROXI REUTER" ], "a": 49, "ab": 14, "b": 4, "bc": 0, "c": 2, "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": 69, "source_aliases": [ "BME 325" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BME 325", "course_uid": "course_9ea08d141645e8e3a95d2869", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "AIDANA BEISENOVA", "Darilis Suarez-Gonzalez", "WIHAN ADI" ], "a": 68, "ab": 7, "b": 5, "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": 83, "source_aliases": [ "BME 325" ] } ] ``` ### statistics #### gpa 3.769 #### graded 446 #### counts * 321 * 72 * 40 * 4 * 7 * 1 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_9ea08d141645e8e3a95d2869-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_9ea08d141645e8e3a95d2869-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_9ea08d141645e8e3a95d2869-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_9ea08d141645e8e3a95d2869-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_9ea08d141645e8e3a95d2869-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_9ea08d141645e8e3a95d2869-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7690582959641254 #### count 446 #### university ##### size 3754 ##### gpa Percentile 54 ##### count Percentile 86 ##### median Count 108 ##### 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 | 10 | false | | 2.8–3.2 | 249 | false | | 3.2–3.6 | 978 | false | | 3.6–4.0 | 2517 | true | #### departments ```json [ { "subject": "BME", "comparison": { "size": 36, "gpaPercentile": 43, "countPercentile": 86, "medianCount": 109, "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": 9, "current": false }, { "range": "3.6–4.0", "count": 27, "current": true } ] } } ] ``` ### terms #### 1202 ##### term 1202 ##### gpa 3.6666666666666665 ##### count 30 ##### university ###### size 1102 ###### gpa Percentile 61 ###### count Percentile 0 ###### 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 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | true | ##### departments | subject | comparison | | ------- | ---------- | | BME | | #### 1212 ##### term 1212 ##### gpa 3.7857142857142856 ##### count 98 ##### university ###### size 1111 ###### gpa Percentile 67 ###### count Percentile 66 ###### 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 | false | | 3.6–4.0 | 611 | true | ##### departments | subject | comparison | | ------- | ---------- | | BME | | #### 1224 ##### term 1224 ##### gpa 3.7264150943396226 ##### count 53 ##### university ###### size 1171 ###### gpa Percentile 60 ###### count Percentile 40 ###### 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": "BME", "comparison": { "size": 13, "gpaPercentile": 42, "countPercentile": 42, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.7641509433962264 ##### count 53 ##### university ###### size 1188 ###### gpa Percentile 65 ###### count Percentile 39 ###### 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 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "BME", "comparison": { "size": 11, "gpaPercentile": 50, "countPercentile": 40, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.725 ##### count 60 ##### university ###### size 1241 ###### gpa Percentile 58 ###### 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 | 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": "BME", "comparison": { "size": 13, "gpaPercentile": 42, "countPercentile": 50, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.782608695652174 ##### count 69 ##### university ###### size 1289 ###### gpa Percentile 64 ###### 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 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "BME", "comparison": { "size": 12, "gpaPercentile": 36, "countPercentile": 45, "medianCount": 72, "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": 3, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.8373493975903616 ##### count 83 ##### university ###### size 1283 ###### gpa Percentile 69 ###### count Percentile 60 ###### 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 | false | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | true | ##### departments ```json [ { "subject": "BME", "comparison": { "size": 14, "gpaPercentile": 54, "countPercentile": 69, "medianCount": 56.5, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 3754 ###### gpa 3.6787429363974926 ###### top Share 83.07717475901322 ###### count 108 ##### BME ###### size 36 ###### gpa 3.7401432722398686 ###### top Share 87.60153465679079 ###### count 109 #### terms ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### BME ###### size 13 ###### gpa 3.7686698353645096 ###### top Share 88.43832733164831 ###### count 62 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### BME ###### size 11 ###### gpa 3.7017837045888244 ###### top Share 82.539715309814 ###### count 66 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### BME ###### size 13 ###### gpa 3.754893169650072 ###### top Share 87.34999687251874 ###### count 60 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### BME ###### size 12 ###### gpa 3.768611233919613 ###### top Share 88.43061421165915 ###### count 72 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### BME ###### size 14 ###### gpa 3.7528996650219564 ###### top Share 87.71281693433329 ###### count 56.5 ## instructor Trends ```json [ { "uid": "instructor_efbdfe8c11327a5f1e98faf5", "name": "DARILIS SUAREZ-GONZALEZ", "count": 318, "terms": [ { "term": "1224", "count": 53, "sections": 1, "gpa": 3.7264150943396226 }, { "term": "1234", "count": 53, "sections": 1, "gpa": 3.7641509433962264 }, { "term": "1244", "count": 60, "sections": 1, "gpa": 3.725 }, { "term": "1254", "count": 69, "sections": 1, "gpa": 3.782608695652174 }, { "term": "1264", "count": 83, "sections": 1, "gpa": 3.8373493975903616 } ] }, { "uid": "instructor_3f1591237c87cf6e2cc955a0", "name": "JEREMY ROGERS", "count": 128, "terms": [ { "term": "1202", "count": 30, "sections": 1, "gpa": 3.6666666666666665 }, { "term": "1212", "count": 98, "sections": 1, "gpa": 3.7857142857142856 } ] }, { "uid": "instructor_f13670744d62c215edab047c", "name": "SIDDHANT JAIN", "count": 98, "terms": [ { "term": "1212", "count": 98, "sections": 1, "gpa": 3.7857142857142856 } ] }, { "uid": "instructor_252ede45936f4202b00ed590", "name": "AIDANA BEISENOVA", "count": 83, "terms": [ { "term": "1264", "count": 83, "sections": 1, "gpa": 3.8373493975903616 } ] }, { "uid": "instructor_36fb9b9cf175e581b2121931", "name": "WIHAN ADI", "count": 83, "terms": [ { "term": "1264", "count": 83, "sections": 1, "gpa": 3.8373493975903616 } ] }, { "uid": "instructor_e9fa347e5d7f8e33d088217e", "name": "ROXI REUTER", "count": 69, "terms": [ { "term": "1254", "count": 69, "sections": 1, "gpa": 3.782608695652174 } ] }, { "uid": "instructor_57abff100225b55874e76c10", "name": "ALEX LI", "count": 60, "terms": [ { "term": "1244", "count": 60, "sections": 1, "gpa": 3.725 } ] }, { "uid": "instructor_940b939191e3d075329e27b2", "name": "NICHOLAS PAULY", "count": 53, "terms": [ { "term": "1224", "count": 53, "sections": 1, "gpa": 3.7264150943396226 } ] }, { "uid": "instructor_a81ec88290b8e3c075927858", "name": "JUSTIN WILLIAMS", "count": 53, "terms": [ { "term": "1224", "count": 53, "sections": 1, "gpa": 3.7264150943396226 } ] }, { "uid": "instructor_c1273a98ed535d46eceea308", "name": "SYDNEY HEIMER", "count": 53, "terms": [ { "term": "1234", "count": 53, "sections": 1, "gpa": 3.7641509433962264 } ] } ] ``` ## following | code | title | | -------- | ------------------ | | STAT 303 | R FOR STATISTICS I | ## projection ### target 1272 ### gpa 3.778266676514897 ### grades | grade | percentage | | ----- | ------------------- | | A | 74.42762637430299 | | AB | 14.333832909454387 | | B | 8.034251864283387 | | BC | 0.716812992092119 | | C | 1.8827922560725685 | | D | 0.28737438596176124 | | F | 0.31730921783277805 | ### source Terms * 1264 * 1254 * 1244 * 1234 * 1224 ### source Count 318 ### same Season false ### historical Range * 3.7249999999999996 * 3.837349397590361