Detailed Course Information |
2020 January Semester
Apr 24, 2024 |
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| STAT 475 - Methods for Multivariate Data | ||
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This course discusses practical techniques for the analysis of multivariate data. Topics covered include estimation and hypothesis testing for multivariate means and variances; partial, multiple and canonical correlations; principal components analysis and factor analysis for data reduction; multivariate analysis of variance; discriminant analysis for classification; and cluster analysis.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam Precluded: MATH-475 MATH-499 Students cannot receive credit for the course being described and the course(s) listed as Precluded
( MATH 150 Minimum Grade of C- or MATH 220 Minimum Grade of C- ) and ( MATH 471 Minimum Grade of C- or STAT 471 Minimum Grade of C- ) |
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