Statistical Methods II
STATISTICAL METHODS II provides a thorough grounding in modern statistical methods, focusing on data analysis, interpretation, and communication.
Summary
Historical reviews of Wei-Yin Loh: Exams are described as tricky and hard, requiring preparation despite a lack of clear connection between homework, lectures, and exam content.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapProfessors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
Historical reviews of Wei-Yin Loh: Wei-Yin Loh's STAT 602 reviews highlight significant disconnects between lectures and exams. Reviewers describe the exams as tricky and difficult, particularly for non-statistics majors, with little connection to the taught material.
WEI-YIN LOH is recorded teaching in Spring 2016, Spring 2018, Spring 2019, Spring 2020, Spring 2022. 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 |
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Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
No records available.
Student experience
the class
Historical reviews of Wei-Yin Loh: Students report Wei-Yin Loh's STAT 602 as difficult, with exams that feel disconnected from homework and lectures, particularly challenging for non-statistics majors.
Recent recorded grades — Spring 2020: 3.84 GPA, 94.0% A/AB (n=67 letter grades); Fall 2021: 4.00 GPA, 100.0% A/AB (n=10 letter grades); Spring 2022: 3.91 GPA, 100.0% A/AB (n=58 letter grades).
difficulty & workload
Historical reviews of Wei-Yin Loh: Exams are described as tricky and hard, requiring preparation despite a lack of clear connection between homework, lectures, and exam content.
Historical reviews of Wei-Yin Loh: Lectures are perceived as irrelevant to exam topics, leaving students confused about the material, especially those without a statistics background.
Topics
Skills
Grades
Latest available · Spring 2022— not enough history to project Fall 2026.
Grade distribution · % of letter grades
Grades over time
Through Spring 2022
More grade details Grade mix, volume & source data
Where this course fits relative to
Latest available grades · Spring 2022 · 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
1171 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
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 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": "e26b73eb1c25edf851ae7597eae8d63a3e0f694392e7c29a2d05afb654197889",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}