Recent recorded grades — Spring 2025: 3.46 GPA, 67.2% A/AB (n=58 letter grades). Includes jointly taught sections.
Introductory Nonparametric Statistics
STAT 351 introduces distribution-free statistical methods, covering rank tests, permutation methods, and kernel estimation.
Summary
Historical reviews of Chunming Zhang: Assignments and projects are generally inline with lectures and comprehensive, but students note a lack of practice materials and exams that may not reflect course content.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapSTAT 333, 340, graduate/professional standing, or declared in Statistics VISP
This is a best-effort interpretation; check the catalog requirements above.
Professors
Fall 2026No course-specific feedback yet.
Historical instructors & teaching patterns
Historical reviews of Dong Xia: Dong Xia is described as a good lecturer who uses many examples and provides clear notes. Reviewers found his exams fair and homework manageable, characterizing the course as a very good overall experience under his instruction.
DONG XIA is recorded teaching in Spring 2017. Recorded history may be incomplete and does not establish a future schedule.
JOSHUA CAPE is recorded teaching in Spring 2025. 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 | 21 / 67 | 0 |
| LEC 002 | Classroom Instruction | 5 / 5 | 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
Overall, historical reviews for Dong Xia and Chunming Zhang highlight clear lectures and fair exams, though recent feedback for Zhang emphasizes dry lectures and unaccommodating policies.
Recent recorded grades — Spring 2023: 3.24 GPA, 52.5% A/AB (n=61 letter grades); Spring 2024: 3.27 GPA, 54.8% A/AB (n=62 letter grades); Spring 2025: 3.46 GPA, 67.2% A/AB (n=58 letter grades).
difficulty & workload
Historical reviews of Chunming Zhang: Assignments and projects are generally inline with lectures and comprehensive, but students note a lack of practice materials and exams that may not reflect course content.
Historical reviews of Chunming Zhang, Dong Xia: Students appreciate clear examples and informative material, but recent experiences cite frustration with dry lectures, harsh TA grading, and limited access to lecture slides or recordings.
Topics
Skills
Grades
Latest available · Spring 2025— not enough history to project Fall 2026.
Grade distribution · % of letter grades
Grades over time
Through Spring 2025
More grade details Grade mix, volume & source data
Where this course fits relative to
Latest available grades · Spring 2025 · 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
1289 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
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 Nonparametric Statistics
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:932:018459",
"course_id": "STAT 351",
"course_uid": "course_e960d322d17638a03f3d8a4b",
"term_id": "1272",
"source_course_id": "018459",
"source_subject_id": "932",
"title": "Introductory Nonparametric Statistics",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Occasionally"
}
]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 gradesModel outputs & technical records
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": "b9dd5c84121c062d66a28f4d804d604c25f64226441658ed28596feef2112fbc",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}