This course covers multivariate normal distribution, Hotelling's T-squared distribution, inference about a mean vector, multivariate analysis of varieance, analysis of covariance structure, analysis of dispersion, classification of clustering techniques, and factor and principal component analysis for high dimensional data. Also, practical examples will be addressed with analytical tools. Prerequisites: STAT 704 or STAT 708 or consent of instructor (F;S;SS).