STAT-4105: Theoretical Statistics
Description: 4105: Probability theory, counting techniques, conditional probability; random variables, moments; moment generating functions; multivariate distributions; transformations of random variables; order statistics. 4106: Convergence of sequences of random variables; central limit theorem; methods of estimation; hypothesis testing; linear models; analysis of variance. STAT 4105 partially duplicates STAT 4705, STAT 4714, and STAT 4724, only one may be taken for credit.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 18
Average GPA: 2.95 (rounds to B)
Strict A Rate (No A-) : 24.23%
Average Withdrawal Rate: 6.26%
| Hongxiao Zhu | 2024 | 72.5% | 27.5% | 0.0% | 0.0% | 0.0% | 0.0% | 3.70 | 1 |
| John P Morgan | 2023 | 35.2% | 30.1% | 20.1% | 2.6% | 4.6% | 7.4% | 2.91 | 5 |
| Pang Du | 2023 | 26.2% | 32.2% | 16.8% | 7.9% | 5.8% | 11.1% | 2.74 | 3 |
| George R Terrell | 2020 | 39.6% | 37.5% | 12.6% | 1.2% | 3.3% | 5.7% | 3.11 | 2 |
| Xiaowei Wu | 2024 | 13.4% | 32.2% | 37.0% | 0.0% | 6.0% | 11.4% | 2.53 | 2 |
| Michael R Taaffe | 2020 | 61.5% | 33.5% | 2.3% | 0.0% | 1.3% | 1.3% | 3.53 | 2 |
| Fatemeh Sadat Hashemi | 2019 | 20.9% | 44.0% | 23.8% | 7.0% | 1.4% | 2.9% | 2.78 | 2 |
| Feng Guo | 2019 | 17.6% | 47.0% | 29.4% | 0.0% | 5.9% | 0.0% | 2.65 | 1 |