4 credits Explores probability distribution of random vectors, covariance matrix, multivariate normal distributions, inferences about a mean vector and several multivariate mean vectors, principal component analysis, and discriminant analysis. Prerequisite(s): MTH 361 is required. MTH 261 is strongly recommended. Graded (A-F) only Add to Portfolio (opens a new window)
