STAT-4514: Introduction to Categorical Data Analysis
Description: Statistical approaches to analyze categorical data. Probability computation and distribution specification, interval estimation and hypothesis testing, formulating and fitting generalized linear models including logistic and Poisson regression, algorithms used for model fitting, variable selection, and classification trees and supervised learning.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 13
Average GPA: 3.45 (A-)
Strict A Rate (No A-) : 42.86%
Average Withdrawal Rate: 0.85%
| Christopher T Franck | 2023 | 51.7% | 34.2% | 10.1% | 1.7% | 0.0% | 2.2% | 3.37 | 5 |
| Marlow Q Lemons | 2014 | 51.1% | 40.2% | 8.8% | 0.0% | 0.0% | 0.0% | 3.39 | 6 |
| Sara K Harrell | 2006 | 76.9% | 23.1% | 0.0% | 0.0% | 0.0% | 0.0% | 3.77 | 1 |
| Hamdy F Mahmoud | 2015 | 95.0% | 0.0% | 0.0% | 5.0% | 0.0% | 0.0% | 3.83 | 1 |