STAT 132: Class/BayesianInfer
University of California, Santa Cruz
Introduction to statistical inference at a calculus-based level: maximum likelihood estimation, sufficient statistics, distributions of estimators, confidence intervals, hypothesis testing, and Bayesian inference. (Formerly AMS 132.)
Average GPA: 3.10
Grade distribution records: 790 students across 14 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 144 | 18.2% |
| A | 87 | 11.0% |
| A- | 59 | 7.5% |
| B+ | 56 | 7.1% |
| B | 70 | 8.9% |
| B- | 65 | 8.2% |
| C+ | 42 | 5.3% |
| C | 49 | 6.2% |
| C- | 8 | 1.0% |
| D+ | 2 | 0.3% |
| D | 19 | 2.4% |
| D- | 3 | 0.4% |
| F | 23 | 2.9% |
| P | 77 | 9.7% |
| NP | 41 | 5.2% |
| S | 2 | 0.3% |
| W | 43 | 5.4% |
Based on 790 student grade records across 14 terms and 9 professors.
Instructors
- Claudia Andrea Wehrhahn Cortes 112 students, Average GPA 3.01
- David Draper 106 students, Average GPA 3.89
- Athanasios Kottas 105 students, Average GPA 2.59
- Yik Lun Kei 105 students, Average GPA 3.12
- Robert Lund 100 students, Average GPA 3.00
- Sheng Jiang 82 students, Average GPA 2.75
- Paul Parker 74 students, Average GPA 3.19
- Bruno Sanso 57 students, Average GPA 2.64
- Jiangeng Huang 49 students, Average GPA 3.00