STAT 530 - Applied Statistical Methods I

A second course in statistics that introduces students to statistical computing and modeling. Use of the R statistical software program is introduced. Students will apply predictive models with both numerical and categorical explanatory variables including simple and multiple linear regression and analysis of variance with multiple factors.

Credit(s): 3

Disciplinary Perspective(s):
None
Interconnecting Perspective(s):
None
University Graduation Requirement(s):
None

Prerequisite(s): STAT 190 - Basic Statistics or STAT 290 - Statistics.