STAT 4045 - Categorical Data Analysis

Credits: 3
Max Credit: 3

Applied methods for analyzing associations when some or all variables are measured in discrete categories, not continuous scales. Topics include the binomial, multinomial, and Poisson probability models, parameter estimation and hypothesis-testing about proportions, measures of association and tests for contingency tables, logistic regression, and log-linear models.

Prerequisite: STAT 2050 or equivalent
Dual Listed STAT 5045.

Former Course Number [4040]