STATS 400
Introduction to Probability Modeling
Course statistics
- Predicted GPA
- 3.93
- n = 153 · 4 terms · ± 0.043
- A range
- 95%
- of letter grades
- Taken P/NP
- 0%
- — of those passed
- D / F / W
- 0.0%
- incl. withdrawals
Sections in Fall 2026
Not offered in Fall 2026.
Enrollment history
Final enrollment per term, averaged across that term's sections. Four years deep, summer excluded. Per-section live curves are on each section page.
- 3322S
- 3923S
- 3024S
- 5324F
Peak 53
Most recent
53
in 24F
4 terms on record
Grade distribution
- A+ 26 · 16.8%
- A 113 · 72.9%
- A- 7 · 4.5%
- B+ 5 · 3.2%
- B 2 · 1.3%
- I 2 · 1.3%
Grey bars are non-letter outcomes — P/NP, S/U, incompletes. They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.
By instructor
| Instructor | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| TSIANG, MICHAEL | 3.98 | 3.99 | 84 | 2 | 100% |
| CHENG, GUANG | 3.90 | 3.90 | 69 | 2 | 90% |
“Predicted” is shrunk toward the course average, which is itself shrunk toward the department — so an instructor with a handful of students sits near the course mean rather than topping the list.
By term
- 22S 3.99 n=31
- 23S 3.87 n=39
- 24S 3.93 n=30
- 24F 3.99 n=53