STAT 213 - Statistical Modeling

FC NSMA QFR

4 credits
A second course in statistics with an emphasis on creating, fitting, evaluating, and using statistical models of data. Topics include linear models of continuous data with continuous and categorical predictors (multiple regression, analysis of variance, and analysis of covariance), models of categorical data, such as logistic regression, and techniques for selecting among competing models, such as cross-validation. Students may not earn credit for both STAT 205 and STAT 213.

Prerequisites: STAT 113 or STAT 114.