| |
Nov 03, 2024
|
|
|
|
|
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.
Add to Personal Catalog (opens a new window)
|
|