MGMTPHD 201A
Probability, Statistics, and Computational Methods for Econometrics
Course statistics
- Predicted GPA
- 3.54
- n = 39 · 3 terms · ± 0.076
- A range
- 51%
- 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.
- 1522F
- 1123F
- 1324F
Peak 15
Most recent
13
in 24F
3 terms on record
Grade distribution
- A+ 4 · 10.3%
- A 11 · 28.2%
- A- 5 · 12.8%
- B+ 6 · 15.4%
- B 10 · 25.6%
- B- 3 · 7.7%
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 |
|---|---|---|---|---|---|
| ROSSI, PETER E | 3.48 | 3.45 | 26 | 2 | 42% |
| BENJAMIN, DANIEL JACOB | 3.57 | 3.60 | 13 small sample | 1 | 69% |
“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
- 22F 3.47 n=15
- 23F 3.42 n=11
- 24F 3.60 n=13