BIOSTAT 202C
Theory of Bayesian Statistics
Course statistics
- Predicted GPA
- 3.93
- n = 44 · 3 terms · ± 0.073
- A range
- 100%
- 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.
- 1521F
- 1322F
- 1723F
Peak 17
Most recent
17
in 23F
3 terms on record
Grade distribution
- A+ 3 · 6.7%
- A 35 · 77.8%
- A- 6 · 13.3%
- S 1 · 2.2%
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 |
|---|---|---|---|---|---|
| TELESCA, DONATELLO | 3.92 | 3.91 | 16 small sample | 1 | 100% |
| WEISS, ROBERT ERIN | 3.97 | 4.00 | 15 small sample | 1 | 100% |
| HOLBROOK, ANDREW JAMES | 3.95 | 3.98 | 13 small sample | 1 | 100% |
“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
- 21F 4.00 n=15
- 22F 3.98 n=13
- 23F 3.91 n=16