pt. I. Preliminary concepts. Fundamental statistical methods: a reference and review -- Introduction to computer packages -- pt. II. Linear models: experimental design and regression analysis. One-way ANOVA: completely randomized design -- Multiple comparisons and contrasts -- Two-way ANOVA: randomized complete block design -- Two-way ANOVA with equal observations in each cell -- Analysis of nonorthogonal factorial designs -- Simple linear regression and correlation analysis -- A matrix approach to simple linear regression -- Multiple regression: an introduction and basic concepts -- Polynomial and other regression models -- The interrelationship between regression and experimental design: a comparison of fitted models -- Selection of an appropriate regression model -- Violating the assumptions and other problems in regression analysis -- pt. III. Multivariate methods. Dimensionality reduction: principal components and factor analysis -- Multidimensional scaling and cluster analysis -- Cross-classified categorical data -- Discriminant analysis -- Appendix A. Real estate data base -- Appendix B. Tables.