Multivariate analysis techniques covering dependence and interdependence methods, factor analysis, cluster analysis, discriminant analysis, regression, canonical analysis, and MDS.
Non-parametric tests covering sign tests, Fisher-Irwin test, McNemer test, Wilcoxon test, Mann-Whitney U test, Kruskal-Wallis test, runs test, and rank correlation.
Analysis of variance ANOVA technique covering one-way and two-way ANOVA, principles, assumptions, F-test application, treatment effects, and illustrations with examples.
Chi-square test as non-parametric test covering population variance testing, goodness of fit, test of independence, conditions, procedure, illustrations, and applications.
Hypothesis testing procedures covering z-test, t-test, paired t-test, proportion testing, variance testing, F-test, correlation coefficient testing, and testing limitations.