STS 232 STATISTICAL MODELING

This course emphasizes rationales, applications and interpretations of regression methods using a case study approach. Advanced statistical software such as SAS or SPlus may be used. Topics include simple linear regression, multiple linear regression, indicator variables, robustness, influence diagnostics, model selection, logistic regression for dichotomous response variables and binomial counts and non-linear regression models. Written reports link statistical theory and practice with communication of results.

Credits

4 sh

Prerequisite

STS 212 or permission of the statistics program coordinator

Course Types

First-Year Foundation; Science

Offered

Spring