Nov 30, 2022  
2018-2019 Graduate Studies Bulletin 
    
2018-2019 Graduate Studies Bulletin [ARCHIVED BULLETIN]

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BAN 250 - Multivariate Data Analysis Methods


Semester Hours: 3
Fall, Spring
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:
BAN 203 . Open only to matriculated graduate students in the Frank G. Zarb School of Business  and in other Schools at Hofstra where appropriate. See specific program requirements.





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