Books
Lesson 0: Matrices and VectorsLesson 3: Graphical Display of Multivariate DataLesson 1: Measures of Central Tendency, Dispersion and AssociationLesson 2: Linear Combinations of Random VariablesLesson 4: Multivariate Normal DistributionLesson 5: Sample Mean Vector and Sample Correlation and Related Inference ProblemsLesson 6: Multivariate Conditional Distribution and Partial CorrelationLesson 11: Principal Components Analysis (PCA)Lesson 13: Canonical Correlation AnalysisLesson 12: Factor AnalysisLesson 10: Discriminant AnalysisLesson 7: Inferences Regarding Multivariate Population MeanLesson 14: Cluster AnalysisLesson 9: Repeated Measures AnalysisLesson 8: Multivariate Analysis of Variance (MANOVA)