LEAD 9344 - Experimental Design and Statistics II

3 hrs

Develops skills and understanding needed to apply and interpret the results of multivariate statistical methods of data analysis. Topics include non-parametric statistics; multiple linear regression analysis; path analysis; factor analysis; cluster analysis; principal components analysis and discriminate analysis. Uses and interpretation of methods such as multivariate analysis of variance; repeated measures analysis of covariance; and multiple analysis of covariance. Emphasis will be on the use and interpretation of computer software to analyze data sets assigned.