Multivariate Analysis Techniques
Multivariate analysis techniques covering dependence and interdependence methods, factor analysis, cluster analysis, discriminant analysis, regression, canonical analysis, and MDS.
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.