Course Detail
Units:
4.0
Course Components:
Lecture
Description
Multivariate statistical methods, excluding multiple regression, beginning with a review of matrix algebra up through eigenvalues and eigenvectors. Principal components, cluster and discriminant analysis, canonical correlation and factor analysis. A theoretical approach is used, but emphasis is on applications to management and administrative problems. Applying prepackaged computer programs to implement statistical tools outlined; interpreting and analyzing computer output.