Random vectors, sample geometry and random sampling, generalized variance, multivariate normal and Wishart distributions, estimation of mean vector, confidence region, Hotelling's T-square, covariance, principal components, factor analysis, discrimination, clustering.
[(MATH 532 with min. grade of C, MATH 563 with min. grade of C, and MATH 564 with min. grade of C)]