Instruction includes use of the SAS, SPSS, and BMD packages. A modern treatment, including extensions of classical probit analysis, multivariate logistic models, GSK model, loglinear models in analysis of multiway contingency tables, and nonmetric multidimensional scaling. Hotelling's T2 procedures, multivariate analysis of variance, discriminant function analysis and problems of classification, multidimensional scaling, and cluster analysis. Emphasis is on efficient design of experiments when faced with experimental requirements of precision and economy. Topics include blocking and factorization of factorial experiments, response surface, balanced incomplete block, and partially balanced incomplete block designs, and designs for variance component estimation.
Statistical analysis is considered in light of modern computer software.
Spectral analysis including the fast Fourier transform computational aspects are emphasized. May be repeated.