Fall 2026

Introduction to Probability and Mathematical Statistics II

Introduction to mathematical statistical inference, focusing on likelihood, estimation, and hypothesis testing.

offering recorded3 credits
Recorded instructors · Fall 2026 Keith Levin2.4/5AJ Fagan

Summary

1 / 7

The course is described as difficult and intense, with long homeworks, high-stakes exams, and a significant gap between lecture content and test material.

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

(STAT/​MATH 309,STAT 311,STAT/​MATH 431, or MATH 531) and (STAT 240,STAT 301, STAT 302,STAT 324,STAT 371, or ECON 310), or graduate/professional standing

MATH/STAT 310 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Fall 2026

Keith Levin

/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 1.90/5 from 52 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

For this course: 2.5/5 raw quality · 4.3/5 difficulty · 12 reviews

RMP profile ↗ · All captured review dates; profile matched by name.

Keith Levin receives harsh criticism for unclear lectures that do not correlate with exams and for being impatient in office hours. Reviewers describe the course as overly difficult, with a significant mismatch between lecture content and test material.

Conversely, some students praise Levin for motivating mathematical concepts and explaining material clearly. These reviewers appreciate his theoretical approach, though they note the course requires significant preparation and proof-based math background.

Recent recorded grades — Fall 2023: 3.26 GPA, 54.2% A/AB (n=48 letter grades); Fall 2024: 3.34 GPA, 60.5% A/AB (n=43 letter grades); Fall 2025: 3.26 GPA, 54.7% A/AB (n=53 letter grades).

No course-specific feedback yet.

Historical instructors & teaching patterns

Historical reviews for Bret Larget, Cecile Ane, Ismor Fischer, Bret Hanlon, Hyunseung Kang, Garvesh Raskutti, Pixu Shi, Panduan An, and Bo Yang show extreme disagreement. Some praise clear lectures and helpfulness, while others report arbitrary grading, excessive difficulty, and poor communication.

BO YANG is recorded teaching in Fall 2020, Fall 2021, Spring 2022, Fall 2022. Recorded history may be incomplete and does not establish a future schedule.

BRET HANLON is recorded teaching in Fall 2013, Spring 2014, Fall 2014, Spring 2015, Spring 2016, Fall 2016, Spring 2017. Recorded history may be incomplete and does not establish a future schedule.

BRET LARGET is recorded teaching in Spring 2009. Recorded history may be incomplete and does not establish a future schedule.

CECILE ANE is recorded teaching in Spring 2013. Recorded history may be incomplete and does not establish a future schedule.

GARVESH RASKUTTI is recorded teaching in Spring 2019, Fall 2020. Recorded history may be incomplete and does not establish a future schedule.

HYUNSEUNG KANG is recorded teaching in Spring 2018. Recorded history may be incomplete and does not establish a future schedule.

KEITH LEVIN is recorded teaching in Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

PANDUAN AN is recorded teaching in Spring 2020, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.

PIXU SHI is recorded teaching in Fall 2018, Fall 2019. 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 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction14 / 634
DIS 311Classroom Instruction5 / 201
DIS 312Classroom Instruction4 / 202
DIS 313Classroom Instruction5 / 201
LEC 001Classroom Instruction57 / 725
DIS 311Classroom Instruction19 / 242
DIS 312Classroom Instruction19 / 243
DIS 313Classroom Instruction19 / 240

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
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Student experience

the class

Reviews for Keith Levin are sharply divided, with some calling him the worst professor due to unclear lectures and exam mismatches, while others praise his clear explanations and theoretical motivation.

Recent recorded grades — Spring 2025: 3.32 GPA, 56.3% A/AB (n=71 letter grades); Fall 2025: 3.26 GPA, 54.7% A/AB (n=53 letter grades); Spring 2026: 2.96 GPA, 42.6% A/AB (n=68 letter grades).

difficulty & workload

The course is described as difficult and intense, with long homeworks, high-stakes exams, and a significant gap between lecture content and test material.

Students report frustration with unclear lectures and limited office hour availability, though some find the theoretical approach helpful if they have prior proof-based math experience.

Topics

  • Samples, populations, estimation, and hypothesis testing.

Skills

  • Understanding the role of likelihood in statistical inference.
  • Analyzing statistical procedures using mathematical statistics.
  • Using computational tools for statistical understanding.
  • Mastering samples, populations, estimation, and hypothesis testing.

Grades

Historical instructor

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 · 0.14 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.

Download part 1
Selected offering source records
MATH/STAT 310 · Fall 2026

Introduction to Probability and Mathematical Statistics II

Recorded 2026-09-07
MATH/STAT 310 · Fall 2026

Introduction to Probability and Mathematical Statistics II

Recorded 2026-09-07
Raw records
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    "offering_id": "1272:600:018442",
    "course_id": "MATH/STAT 310",
    "course_uid": "course_e593b86c370a0c671af794df",
    "term_id": "1272",
    "source_course_id": "018442",
    "source_subject_id": "600",
    "title": "Introduction to Probability and Mathematical Statistics II",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Spring"
  },
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    "offering_id": "1272:932:018442",
    "course_id": "MATH/STAT 310",
    "course_uid": "course_e593b86c370a0c671af794df",
    "term_id": "1272",
    "source_course_id": "018442",
    "source_subject_id": "932",
    "title": "Introduction to Probability and Mathematical Statistics II",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Spring"
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Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-09-07

Download the original dataset
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1Download part 2
Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "5c3103063650a245f02039aed02c2bc4553bcf6b6d3f146ba717da48f6ee0d2c",
  "requirements_status": "needs_review",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}