Syllabus Information |
Fall 2019
May 17, 2024 |
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| STAT 5215 - Statistical Methods |
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Associated Term:
Fall 2019
Learning Objectives: 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 comparions, 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 demostrate these methods. This course is intended to prepare students for PhD programs in mathematics, statistics, engineering and related disciplines. Required Materials: Technical Requirements: |
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