STATS 10
Introduction to Statistical Reasoning
Lecture, three hours; discussion, one hour; computer laboratory, two hours. Preparation: three years of high school mathematics. Not open for credit to students with credit for course 12, 13, or 15. Introduction to statistical thinking and understanding, including strengths and limitations of basic experimental designs, graphical and numerical summaries of data, inference, regression as descriptive tool. P/NP or letter grading.
Course statistics
- Predicted GPA
- 3.42
- n = 8,412 · 15 terms · ± 0.006
- A range
- 63%
- of letter grades
- Taken P/NP
- 3%
- 75% of those passed
- D / F / W
- 3.7%
- incl. withdrawals
Sections in Fall 2026
| Section | Status | Enrolled | Seat risk | Meets | Instructor | Predicted GPA |
|---|---|---|---|---|---|---|
| Lec 1 | Closed |
160 of 160
100% full
|
fills | Time TBA | Wang, B. | 3.44n=3,116 · this instructor |
| Lec 2 | Closed |
160 of 160
100% full
|
fills | TR 9:30am-10:45am | Wang, B. | 3.44n=3,116 · this instructor |
| Lec 3 | Open |
77 of 110
70% full
|
fills | MW 3:30pm-4:45pm | Cha, M. | 3.51n=2,093 · this instructor |
| Lec 4 | Closed |
160 of 160
100% full
|
fills | MW 5:00pm-6:15pm | Cha, M. | 3.51n=2,093 · this instructor |
| Lec 5 | Open |
73 of 126
58% full
|
fills | TR 5:00pm-6:15pm | Gould, R.L. | 3.42n=59 · 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.
- 14521F
- 14622W
- 14422S
- 13922F
- 14323W
- 14423S
- 15223F
- 14724W
- 15024S
- 15224F
- 14625W
- 14625S
Grade distribution
- A+ 2,062 · 23.8%
- A 2,295 · 26.5%
- A- 976 · 11.3%
- B+ 761 · 8.8%
- B 709 · 8.2%
- B- 397 · 4.6%
- C+ 435 · 5.0%
- C 324 · 3.7%
- C- 142 · 1.6%
- D+ 59 · 0.7%
- D 71 · 0.8%
- D- 21 · 0.2%
- F 160 · 1.8%
- P 165 · 1.9%
- NP 54 · 0.6%
- S 2 · 0.0%
- I 23 · 0.3%
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 |
|---|---|---|---|---|---|
| WANG, BINGLING | 3.44 | 3.45 | 3,116 | 12 | 67% |
| CHA, MARIA | 3.51 | 3.51 | 2,093 | 8 | 66% |
| MAIERHOFER, THOMAS JOHANNES | 3.25 | 3.25 | 720 | 3 | 48% |
| WU, GUANI | 3.02 | 3.01 | 491 | 3 | 42% |
| ZES, DAVID ANTHONY | 3.79 | 3.80 | 418 | 2 | 89% |
| ALMOHALWAS, AKRAM M | 3.22 | 3.21 | 412 | 3 | 54% |
| XU, HONGQUAN | 3.34 | 3.34 | 290 | 1 | 49% |
| HO, HAO | 3.27 | 3.26 | 280 | 1 | 58% |
| TSIANG, MICHAEL | 3.75 | 3.77 | 219 | 2 | 82% |
| ZHOU, QING | 3.39 | 3.39 | 154 | 1 | 60% |
| ODHIAMBO, COLLINS OJWANG | 3.45 | 3.46 | 130 | 1 | 62% |
| GOULD, ROBERT L | 3.42 | 3.42 | 59 | 1 | 63% |
| CHEN, MILES SATORI | 3.44 | 3.45 | 30 | 1 | 67% |
“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 3.49 n=697
- 22W 3.56 n=569
- 22S 3.63 n=831
- 221 3.26 n=161
- 22F 3.61 n=669
- 23W 3.42 n=706
- 23S 3.37 n=562
- 231 3.41 n=170
- 23F 3.38 n=887
- 24W 3.20 n=714
- 24S 3.22 n=586
- 241 3.58 n=262
- 24F 3.64 n=454
- 25W 3.31 n=575
- 25S 3.24 n=569