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This Concept Map, created with IHMC CmapTools, has information related to: Stats Decision Tree_v8, Are all expected contingency cells at least 1 and 20% >= 5? No Fisher's Exact Test (for each indep. variable), Does normality hold? No Mann-Whitney U-Test, How many independent variables do you have? One What are you testing?, How many measures of the independent variable More than two Repeated Measures ANOVA, Are samples independent? Yes Are there multiple measures of an independent variable?, Are all expected contingency cells at least 1 and 20% >= 5? No Fisher's Exact Test, How many levels are in the response? Two How many independent variables do you have?, Are there excessive zeros? No Zero- Inflated Model, What are you testing? Form of Relationship McNemar's Test (for each indep. variable), How many independent variables do you have? One What type of independent variables do you have?, Do normality and homogeneity of variance hold? No Mann-Whitney U-Test, Do normality and homogeneity of variance hold? No Wilcoxon Paired Test, What are you testing? Association Spearmans Rank Correlation, What are you testing? Association Do normality and homogeneity of variance hold?, What are you testing? Association Are samples independent?, Are samples independent? No What are you testing?, Nonparametric/ Semiparametric? Two or more groups What are you testing?, Are observation times equal? Yes Poisson Regression, Nonparametric/ Semiparametric? One group Do data meet Proportional Hazards assumptions?, Do normality and homogeneity of variance hold? No Kruskal-Wallis OR consider data transformations