Jun 05, 2020  
Graduate School Course Catalog 2018-2019 
Graduate School Course Catalog 2018-2019 [ARCHIVED CATALOG]

STAT 5215 - Statistical Methods (3)

Pre- or Co-requisite: STAT 5210  or permission of the department. This course presents statistical methods associated with regression and the analysis of variance for various experimental designs.  Theoretical development of statistical models will be covered.  Topics include simple and multiple linear regression, regression models for discrete data, ANOVA, multiple comparisons, ANCOVA, fixed and random effects, nested models, and repeated measures.  The relationship among regression, ANOVA and ANCOVA will be emphasized.  Statistical software will be used to demonstrate these methods.  This course is intended to prepare students for PhD programs in mathematics, statistics, engineering and related disciplines.

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