Jul 22, 2024  
2022-2023 Undergraduate Catalog 
2022-2023 Undergraduate Catalog [ARCHIVED CATALOG]

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MATH 412 - Multivariate Statistics

Class Hours: 3
Lab/Discussion: 0
Credits: 3

Prerequisite: MATH 214  or MATH 216  or MATH 217  or instructor permission
Dual Listed: MATH 512

Description: An applied statistics course that focus on multivariate statistical methods. Research procedures on the relationship among variables, significance of group differences, prediction of group membership, and structure exploration are introduced. Factorial analysis of variance, analysis of covariances, multivariate analysis of variance and covariance, path analysis, factor analysis, and discriminate analysis are introduced and used to analyze data. Emphasizes the applied aspects of these statistical methods and uses computer software for data analysis.

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