Course Department: 
Course Frequency: 
Annually, fall
Course Description: 

This course provides a focused introduction to the theory and practice of categorical data analysis.  Model interpretation and conceptual understanding will be emphasized.  Specific course topics include the chi-square test for independence, Fisher's exact test, logistic regression, multinomial logistic regression, prediction, dummy variables, contrasts, testing general hypotheses, effect modification and confounding, assessing fit, and model-building strategies.  Students will work extensively with data sets and the R statistical software package. Prerequisites: Mathematics 231 or Economics 314. One unit.

Course Number: