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×Cleveland, Ohio
Emphasizes multivariate techniques-their assumptions, applications, and interpretation of output. Includes multiple classification analysis, canonical correlation analysis, multivariate analysis of variance, discriminant analysis, factor analysis, cluster analysis, MDS, conjoint analysis, logit and probit models, etc. Uses computer packages to analyze data.
Units: 3.0