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: 7
Average GPA: 3.18 (B+)
Strict A Rate (No A-) : 37.65%
Average Withdrawal Rate: 0.65%
| John W Smith | 2019 | 26.6% | 26.6% | 39.9% | 6.7% | 0.0% | 0.0% | 2.65 | 1 |
| Inyoung Kim | 2024 | 41.5% | 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 |
| Yili Hong | 2019 | 42.9% | 21.4% | 21.5% | 10.7% | 3.6% | 0.0% | 2.80 | 1 |