STAT-4106: 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: 22
Average GPA: 2.91 (B)
Strict A Rate (No A-) : 29.66%
Average Withdrawal Rate: 2.13%
| Yili Hong | 2019 | 47.2% | 28.1% | 13.6% | 5.7% | 4.2% | 1.3% | 3.03 | 3 |
| William H Woodall | 2017 | 25.9% | 25.2% | 22.9% | 7.5% | 12.1% | 6.4% | 2.43 | 6 |
| Samantha C Prins | 2006 | 37.9% | 46.2% | 16.0% | 0.0% | 0.0% | 0.0% | 3.18 | 2 |
| George R Terrell | 2013 | 28.9% | 37.1% | 28.4% | 4.5% | 1.0% | 0.0% | 2.91 | 5 |
| John W Smith | 2019 | 26.6% | 26.6% | 39.9% | 6.7% | 0.0% | 0.0% | 2.65 | 1 |
| Inyoung Kim | 2024 | 41.4% | 32.4% | 23.1% | 0.0% | 1.5% | 1.5% | 3.14 | 3 |
| Shyam Ranganathan | 2021 | 79.1% | 16.1% | 4.8% | 0.0% | 0.0% | 0.0% | 3.69 | 2 |