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. Junior standing or above. Grade mode designated on a CRN basis each term. Students should consult current term schedule. Add to Portfolio (opens a new window)
