STAT 402 Introduction to Categorical Data Analysis

Introduction to analysis and interpretation of categorical data using analysis of variance or regression analogs. Topics include contingency tables, generalized linear models, logistic regression, log-linear models, and models for matching pairs.  Extensive use of open-source software such as R.

Credits

4

Prerequisite

STAT 201 or STAT 216, or equivalent, or permission of department chair.

General Education

Offered

• Fall

Search for Open Course Sections