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Nov 25, 2024
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QM 250 - Multivariate Data Analysis Methods
Semester Hours: 3
Periodically
Computer package-based approach to multivariate methods using SAS and other statistical packages. Topics include principal component analysis, canonical correlation analysis, factor analysis, multidimensional scaling and cluster analysis, discriminant analysis.
Prerequisite(s)/Course Notes:
QM 203 . Open only to matriculated graduate students in the Zarb School of Business and in other Schools at Hofstra where appropriate. See specific program requirements.
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