STAT-5034: Inference Fundamentals with Applications to Categorical Data
Description: Fundamental concepts in statistical inference and related methods: point estimation, interval estimation, hypothesis testing, permutation, and resampling-based methods. Emphasizes use of R programming package, visualizing data, computation and interpretation of effect sizes, statistical simulation to compare the performance of available methods, role of sample size in statistical analysis, contingency tables, and use of model contrasts to assess specific hypotheses in the context of larger models.
Pathways: N/A
Course Hours: 3 credits
Corequisites: STAT-5014, STAT-5044
Crosslist: N/A
Repeatability: N/A
Sections Taught: 20
Average GPA: 3.62 (A-)
Strict A Rate (No A-) : 54.00%
Average Withdrawal Rate: 0.00%
| Christopher T Franck | 2022 | 83.7% | 15.1% | 1.3% | 0.0% | 0.0% | 0.0% | 3.76 | 6 |
| Feng Guo | 2023 | 83.3% | 16.7% | 0.0% | 0.0% | 0.0% | 0.0% | 3.83 | 1 |
| Robert S Schulman | 2006 | 48.6% | 46.2% | 1.4% | 0.0% | 3.8% | 0.0% | 3.33 | 3 |
| Xiaowei Wu | 2016 | 73.7% | 26.3% | 0.0% | 0.0% | 0.0% | 0.0% | 3.70 | 3 |
| Dong Yun H Kim | 2012 | 60.2% | 35.8% | 3.6% | 0.5% | 0.0% | 0.0% | 3.52 | 6 |
| Eric P Smith | 2013 | 82.4% | 17.7% | 0.0% | 0.0% | 0.0% | 0.0% | 3.81 | 1 |