MATH 3123: Probability & Statistics II
University of North Carolina, Charlotte
An introduction to statistical inference.� Topics include: point estimation (method of moments, method of maximum likelihood, unbiased estimators, efficiency, consistency); confidence intervals and hypothesis tests for unknown parameters, including proportions, means, variances, and differences between means; tests of significance; the power function; goodness-of-fit.
Average GPA: 2.71
Grade distribution records: 350 students across 17 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 122 | 34.9% |
| B | 73 | 20.9% |
| C | 71 | 20.3% |
| D | 36 | 10.3% |
| F | 24 | 6.9% |
| W | 14 | 4.0% |
Based on 350 student grade records across 17 terms and 6 professors.
Instructors
- Eliana Christou 196 students, Average GPA 2.80
- Mohammad Kazemi 50 students, Average GPA 2.25
- Michael Grabchak 44 students, Average GPA 2.64
- Shaoyu Li 27 students, Average GPA 2.63
- Isaac Sonin 22 students, Average GPA 2.68
- Yang Li 11 students, Average GPA 3.80