STAT 213 - Statistical Modeling

Semester Offered: Second Semester
Full Course
Credits: 4 credits
Attribute: 4NS, QFR

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.

Enrollment Limit: 32
Instructor: C. Dawson

Prerequisites & Notes: STAT 113, STAT 114, or consent of the instructor.