CATEGORICAL DATA ANALYSIS (2 Credits)

Learning Outcomes:

On successful completion of this course, students will be able to: Describe categorical data and models; Analyze categorical data; Interpret the statistical measurement in analyzing categorical data.

Topics:

1. Distributions and Inference for Categorical Data;
2. Inference for Two-Way Contingency Tables;
3. Loglinear Models for Contingency Tables;
4. Logistic Regression;
5. Models for Multinomial Responses.