STATS 13
Introduction to Statistical Methods for Life and Health Sciences
Lecture, three hours; discussion/laboratory, two hours. Not open for credit to students with credit for course 10, 12, or 15. Presentation and interpretation of data, descriptive statistics, introduction to correlation and regression and to basic statistical inference (estimation, testing of means and proportions, ANOVA) using both bootstrap methods and parametric models. P/NP or letter grading.
Course statistics
- Predicted GPA
- 3.50
- n = 5,861 · 15 terms · ± 0.007
- A range
- 68%
- of letter grades
- Taken P/NP
- 0%
- 87% of those passed
- D / F / W
- 3.9%
- incl. withdrawals
Sections in Fall 2026
| Section | Status | Enrolled | Seat risk | Meets | Instructor | Predicted GPA |
|---|---|---|---|---|---|---|
| Lec 1 | Closed |
160 of 160
100% full
|
fills | TR 11:00am-12:15pm | Zanontian, L.A. | 3.53n=1,136 · this instructor |
| Lec 2 | Closed |
160 of 160
100% full
|
fills | TR 2:00pm-3:15pm | Zanontian, L.A. | 3.53n=1,136 · this instructor |
| Lec 3 | Closed |
160 of 160
100% full
|
fills | MW 5:00pm-6:15pm | Ho, H. | 3.54n=309 · this instructor |
| Lec 4 | Closed |
100 of 100
100% full
|
fills | MW 6:30pm-7:45pm | Ho, H. | 3.54n=309 · this instructor |
| Lec 5 | Closed |
100 of 100
100% full
|
fills | TR 3:30pm-4:45pm | Wu, G. | 3.18n=71 · this instructor |
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.
- 15221F
- 11422W
- 12422S
- 14622F
- 14323W
- 7423S
- 15523F
- 14724W
- 11524S
- 15324F
- 13725W
- 15125S
Grade distribution
- A+ 715 · 12.1%
- A 2,611 · 44.0%
- A- 651 · 11.0%
- B+ 484 · 8.2%
- B 530 · 8.9%
- B- 220 · 3.7%
- C+ 158 · 2.7%
- C 184 · 3.1%
- C- 90 · 1.5%
- D+ 42 · 0.7%
- D 82 · 1.4%
- D- 12 · 0.2%
- F 82 · 1.4%
- P 20 · 0.3%
- NP 3 · 0.1%
- I 36 · 0.6%
- DR 11 · 0.2%
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 |
|---|---|---|---|---|---|
| KIM, DALE SIM | 3.56 | 3.56 | 1,819 | 6 | 72% |
| ZANONTIAN, LINDA ANIA | 3.53 | 3.53 | 1,136 | 5 | 63% |
| PAIK SCHOENBERG, FREDERIC ROLAND | 3.40 | 3.40 | 721 | 6 | 64% |
| SPARKS, JOSHUA HARRISON | 3.35 | 3.35 | 558 | 2 | 61% |
| ALMOHALWAS, AKRAM M | 3.29 | 3.29 | 538 | 4 | 59% |
| HO, HAO | 3.54 | 3.54 | 309 | 1 | 70% |
| ONYAMBU, SAMUEL ONYANCHA | 3.48 | 3.48 | 307 | 1 | 69% |
| TSIANG, MICHAEL | 3.86 | 3.87 | 290 | 2 | 93% |
| LEW, VIVIAN | 3.83 | 3.87 | 112 | 1 | 92% |
| WU, GUANI | 3.18 | 3.13 | 71 | 1 | 46% |
“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 3.56 n=300
- 22W 3.42 n=223
- 22S 3.29 n=247
- 221 3.36 n=147
- 22F 3.60 n=574
- 23W 3.44 n=565
- 23S 3.48 n=148
- 231 3.72 n=249
- 23F 3.54 n=616
- 24W 3.60 n=576
- 24S 3.58 n=461
- 241 3.48 n=178
- 24F 3.49 n=303
- 25W 3.33 n=679
- 25S 3.53 n=595