Mathematical Statistics I
MATHEMATICAL STATISTICS I reviews probability, random variables, generating functions, sampling theory, and limit theorems.
Summary
Past student reviews · Chunming Zhang
One student described the class as difficult, noting that homework and class content differed substantially from the test material, which they found challenging.
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapGraduate/professional standing or declared in Statistics VISP
- Graduate/professional standing or declared in Statistics VISP
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Graduate/professional standing or declared in Statistics VISP
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
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Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
Student experience
the class
Past student reviews · Chunming Zhang
Student feedback on Prof. Zhang's teaching varied significantly, with one student praising her ability to simplify complex topics while another criticized the disconnect between coursework and exams.
Recent recorded grades — Fall 2023: 3.47 GPA, 68.8% A/AB (n=32 letter grades); Fall 2024: 3.45 GPA, 65.1% A/AB (n=43 letter grades); Fall 2025: 3.45 GPA, 54.5% A/AB (n=11 letter grades).
difficulty & workload
Past student reviews · Chunming Zhang
One student described the class as difficult, noting that homework and class content differed substantially from the test material, which they found challenging.
Past student reviews · Chunming Zhang
A past student found Prof. Zhang's instruction effective, highlighting how she clearly explained concepts and used pertinent examples to help understand difficult theories.
Topics
- Probability, random variables, generating functions, sampling, and limit theorems.
Skills
- Understanding probability, random variables, generating functions, sampling theory, and limit theorems.
Grades
Latest available · Fall 2025— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Fall 2025
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
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
No offering records for the selected term.
Raw records
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Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
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"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "3a36a4e27807d552f196d86e314160bf81566e4ff2b7c20210fb00bd05f3061f",
"requirements_status": "needs_review",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}