MATH 3365 - Categorical Data Analysis

This course covers descriptive and inferential analysis with categorical variables, as well as predictive categorical modeling techniques. Methods covered include Chi-square tests, 2-proportion z-tests, Fishers Exact test, M-squared tests, non-parametric correlation, logistic regression, log-linear regression, and decision trees. Appropriate statistical software will be used.

Prerequisite/Corequisite:
Prerequisite: DATA 1501, MATH 3345, or MATH 3350

Hours:
3