Recent recorded grades — Fall 2024: 2.83 GPA, 35.3% A/AB (n=343 letter grades); Fall 2025: 3.16 GPA, 48.9% A/AB (n=190 letter grades). Includes jointly taught sections.
Fall 2026
Introductory Applied Statistics for the Life Sciences
STAT 371 introduces applied statistical practice for the life sciences using R, covering EDA, inference, ANOVA, and regression.
Summary
1 / 6
Historical reviews indicate varied workloads. John Davis reported short homework, whereas Cecile Ane assigned a heavy group project and required extra practice. Vivak Patel's course was noted as highly difficult.
Grade history
↗ average GPA
letter grades
letter grades
A
AB
B
BC
C
D
F
All recorded terms · compare terms & instructors
Prerequisites
Course map(MATH 112 and placed out ofMATH 113), (MATH 113 and placed out ofMATH 112), (MATH 112 and 113),MATH 114, 171, 211, 221, or placement inMATH 221. Not open to students with credit for STAT 302 or 324
- (MATH 112 and placed out ofMATH 113)
- (MATH 113 and placed out ofMATH 112)
- (MATH 112 and 113)
- MATH 114
- 171
- 211
- 221
- placement inMATH 221
- STAT 302
- 324
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- All of
- Any of
- (MATH 112 and placed out ofMATH 113)
- (MATH 113 and placed out ofMATH 112)
- (MATH 112 and 113)
- MATH 114
- 171
- 211
- 221
- placement inMATH 221
- Not eligible with
- Any of
- STAT 302
- 324
- Any of
- Any of
Professors
Fall 2026No course-specific feedback yet.
No course-specific feedback yet.
No course-specific feedback yet.
No course-specific feedback yet.
No course-specific feedback yet.
Recent recorded grades — Fall 2025: 3.16 GPA, 48.9% A/AB (n=190 letter grades); Spring 2026: 2.91 GPA, 38.8% A/AB (n=170 letter grades). Includes jointly taught sections.
No course-specific feedback yet.
Recent recorded grades — Fall 2025: 2.88 GPA, 32.9% A/AB (n=149 letter grades); Spring 2026: 2.88 GPA, 36.9% A/AB (n=176 letter grades). Includes jointly taught sections.
Historical instructors & teaching patterns
Historical reviews for STAT 371 describe varied experiences. Bret Larget was supportive, while Cecile Ane was vague. Chenliang Xu had language barriers, John Davis was engaging, and Victoria Mansfield was organized and clear. Nicholas Keuler was poorly received, Sean Kent was fair, Mitchell Paukner was generous, and Liam Johnston was an excellent TA. Amy Beyler was criticized for redundancy with AP Stats.
AMY BEYLER is recorded teaching in Spring 2022. Recorded history may be incomplete and does not establish a future schedule.
CECILE ANE is recorded teaching in Spring 2012. Recorded history may be incomplete and does not establish a future schedule.
CHENLIANG XU is recorded teaching in Fall 2013, Spring 2014. Recorded history may be incomplete and does not establish a future schedule.
JANA RANSON is recorded teaching in Fall 2023. Recorded history may be incomplete and does not establish a future schedule.
JOHN DAVIS is recorded teaching in Fall 2014, Spring 2015, Fall 2015, Spring 2016. Recorded history may be incomplete and does not establish a future schedule.
MATTHEW BLOSS is recorded teaching in Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.
MITCHELL PAUKNER is recorded teaching in Fall 2019. Recorded history may be incomplete and does not establish a future schedule.
NICHOLAS STEPHEN KEULER is recorded teaching in Spring 2008, Spring 2009, Fall 2016, Spring 2017. Recorded history may be incomplete and does not establish a future schedule.
SEAN KENT is recorded teaching in Fall 2018. Recorded history may be incomplete and does not establish a future schedule.
SOUMEN GHOSH is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
VIVAK PATEL is recorded teaching in Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
ZACHARY LECLAIRE is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Fall 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 216 / 216 | 0 |
| LEC 002 | Classroom Instruction | 214 / 214 | 0 |
| LEC 003 | Classroom Instruction | 204 / 216 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
Student experience
the class
Historical reviews describe highly variable teaching quality. Instructors like Bret Larget and Victoria Mansfield were praised for clarity and support, while Chenliang Xu and Vivak Patel faced criticism for confusing lectures and heavy difficulty.
Recent recorded grades — Spring 2025: 2.90 GPA, 37.6% A/AB (n=436 letter grades); Fall 2025: 3.06 GPA, 43.4% A/AB (n=511 letter grades); Spring 2026: 2.87 GPA, 37.2% A/AB (n=503 letter grades).
difficulty & workload
Historical reviews indicate varied workloads. John Davis reported short homework, whereas Cecile Ane assigned a heavy group project and required extra practice. Vivak Patel's course was noted as highly difficult.
Historical feedback suggests attending lectures and discussion sections with TAs like Liam Johnston. Some found slide-reading lectures by Jana Ranson and Chenliang Xu unhelpful, while Mitchell Paukner provided clear examples.
Topics
Skills
Grades
Fall 2026 · Projected
Before grades are released– average GPA
Approximate 80% prediction interval
About this estimate
The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.
The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.
8 earlier forecasts · 0.13 GPA average error.
Grades over time
Through Fall 2026
More grade details Grade mix, volume & source data
Where this course fits relative to
Latest available grades · Spring 2026 · all course levels
GPA
Higher than % of other courses in this group.
Course GPAs · red marks this course’s range
letter grades
More recorded grades than % of other courses in this group.
Typical course in this group: letter grades.
About this comparison
1283 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.
Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.
Sources & history
UW–Madison
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
Introductory Applied Statistics for the Life Sciences
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:932:021160",
"course_id": "STAT 371",
"course_uid": "course_31fb5b7b6bf20ca63e33bd46",
"term_id": "1272",
"source_course_id": "021160",
"source_subject_id": "932",
"title": "Introductory Applied Statistics for the Life Sciences",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Not Applicable"
}
]Rate My Professors
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Madgrades
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "6d76ad8a7cc1d70414d5806d2e2372cce1948e1602b58f6731fb898079f4d208",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}