chical regressions; conduct 2x2, 2x3 and 3x3 Chi Square analyses; test difference between effect sizes; Help files explaining all effect size statistics used. o Conduct meta-analyses allowing: unweighted and weighted mean effect size estimates; Rosenthal`s Fail-Safe N statistic; Orwin`s Criterion d and g; computation based upon measure type; computation based upon study type; tests of heterogeneity (Q and I-Squared statistics); complete summary information

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Probability Analysis Software for Windows that provides an easy-to-use tool for using Discrete and Continuous Distributions, handling all the Probability Combinations for you. Features include Binomial, Poisson, Normal, Exponential, Student t, Chi Squared, F, Beta and Lognormal Distributions; Inverses of Normal, Student t, Chi Squared, F, Beta and Lognormal Distributions; Lists of Binomial Coefficients and Permutations plus more.

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Chi-Squared) and a variety of graphs (probability density, cumulative probability, survival, hazard, P-P plot, Q-Q plot etc.) help you compare the fitted distributions and ensure you have selected the most valid model. Finally, you can apply the integrated StatAssist tool to make business decisions based on the analysis results. The advanced Excel integration enables you to use the power of EasyFit right in Excel. EasyFit allows to perform worksheet

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squares analysis) Nonparametric statistics: Tables Analysis chi-square test, rank correlations (Kendall Tau, Spearman R, etc.), comparing independent samples (Mann-Whitney U, Kolmogorov-Smirnov, Rosenbaum, Wald-Wolfowitz Runs Tests,Kruskal-Wallis ANOVA,...) comparing dependent samples (Wilcoxon Test, Sign Test, Friedman ANOVA, Kendall`s Concordance) Cochran Q Test Regression: Linear, polynomial, logistic, stepwise and Cox regression Survival Analysis

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squares analysis) Nonparametric statistics: Tables Analysis chi-square test, rank correlations (Kendall Tau, Spearman R, etc.), comparing independent samples (Mann-Whitney U, Kolmogorov-Smirnov, Rosenbaum, Wald-Wolfowitz Runs Tests,Kruskal-Wallis ANOVA,...) comparing dependent samples (Wilcoxon Test, Sign Test, Friedman ANOVA, Kendall`s Concordance) Cochran Q Test Regression: Linear, polynomial, logistic, stepwise and Cox regression Survival Analysis

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squares analysis) Nonparametric statistics: Tables Analysis chi-square test, rank correlations (Kendall Tau, Spearman R, etc.), comparing independent samples (Mann-Whitney U, Kolmogorov-Smirnov, Rosenbaum, Wald-Wolfowitz Runs Tests,Kruskal-Wallis ANOVA,...) comparing dependent samples (Wilcoxon Test, Sign Test, Friedman ANOVA, Kendall`s Concordance) Cochran Q Test Regression: Linear, polynomial, logistic, stepwise and Cox regression Survival Analysis

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