STAT 330 - Introduction to Linear Models

Expansion of the basic statistical inference procedures for one and two sample tests to include calculations for both power and sample size. A thorough investigation of the concepts related to statistical inference of simple linear and multiple linear regression models with an introduction to the analysis of single factor multi-level designs (one-way ANOVA).

Credit(s): 3

Repeatable for Credit? No
Disciplinary Perspective(s):
STEM: Other
Interconnecting Perspective(s):
None
University Graduation Requirement(s):
None

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