Detailed Course Information |
Fall 2023
Oct 11, 2024 |
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| MATH 808 - Applied Statistical Data Processing |
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Practical aspects of data analysis using statistical computer packages such as MINITAB, SPSSX, AND BMDP. Multivariate statistical methods including multiple regression, analysis of covariance, factor analysis, multidimensional scaling, discriminant analysis and linear models for cross-classified categorical data are emphasized. Students do individual data analysis projects.
Prerequisite: MATH 307 Intermediate Statistics.
1.000 Credit hours 4.000 Lecture hours Levels: Graduate, Non-Matriculated Schedule Types: Lecture Mathematics Department Course Attributes: Graduate Level Course |
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