Testing with Rank Sum Z Test for Differences in Two Proportions (Independent Samples) x2Test for Differences in Two Proportions (Independent Samples) x2Test for Differences in c Proportions (Independent Samples) x2Test of Independence
The Multiple Regression Model Contribution of Individual Independent Variables Coefficient of Determination Categorical Explanatory Variables Transformation of Variables Model Building
The Payoff Table and Decision Trees Opportunity Loss Criteria for Decision Making Expected Monetary Value Expected Profit Under Certainty Return to Risk Ratio Decision Making with Sample Information Utility
To detine multivariate analysis. To describe multiple regression analysis and multiple discriminant analysis. To learn about factor analysis and cluster analysis. gain an appreciation of perceptua mapping. To develop an understanding of conjoint analysis