Implemented Statistics so far:

• Descriptive analysis including: Arithmetic Mean, Geometric Mean*, Harmonic Mean*, Mode, Median, Minimum, Maximum, Sum, Standard Deviation, Variance, Standard Error of the Mean, Kurtosis and Skewness.

• Frequencies Percent and cumulative percent. (Percentiles and Tukey Hinges)*
  

• Non-parametric Tests:
• Binomial Test
• kxl Chi-Square including likelihood Ratio, Phi, Cramer's V, Kendall's tau-b* and tau-c*, Cohen's Kappa*.
• McNemar including McNemar exact, likelihood Ratio, Phi, Cramer's V, Symmetric Measures.
• Fisher's Exact Test
  
• Cochran.
• Mann-Whitney U Test for comparison of two independent samples.
• Kruskal-Wallis Test for comparison of more than two independent samples. Including paired comparisons for post-hoc analysis.
• Wilcoxon and Sign-Test for comparison of two dependent samples.
• Friedman-Test for comparison of more than two dependent samples. Including Conover Statistic and paired comparison for post-hoc analysis.
• Kolmogorov-Smirnov one sample test for testing against Uniform, Normal and Exponential distribution. Lilliefors correction for test against normality.
• Kolmogorov-Smirnov two sample test
  

• Parametric Tests:
• One-Sample T-test for testing sample mean against mean of population.
• Two independent Samples T-test for mean comparison of two independent samples.
  Including Levene test for homogeneity of variances.
  
• Two dependent Samples T-test for mean comparison of two dependent sample. Including paired correlations.
• One-Way ANOVA including post hoc test Duncan, Tukey HSD, Scheffe for equal variances assumed and Games-Howell GH for equal variances not assumed
• Repeated One-Way ANOVA including estimation of Epsilon (LowerBound, Greenhouse-Geisser, Huynh-Feldt).
• ANOVA*, univariate analysis of variances for fixed factors, uncluding Type III sum of squares and weighted sum of squares, Levene test for homogeneity of variances, eta squared and partial eta squared, critical differences for post-hoc analysis (Tukey and Scheffe).
• ANOVA Split-plot* including Test for Sphericity, Levene test for homogeneity of variances, Post-hoc Critical differences (Tukey and Scheffé), for balanced designs only, up to 2 within and 2 between factors,
• Pearson bivariate correlations.
• Spearman rankcorrelations.
• Multiple Linear Regression, including Correlationmatrix, Model-Fit, ANOVA-Table, Parameter Estimates, Part and Partial Correlations*, Collinearity (Tolerance and Variance Inflation Factor)*, Change Statistics. Methods: Enter, Forward*, Backward* and Step*.
• Logistic Regression* (Parameter Estimates, Iteration History, Correlation Table, save predicted values, influence and residuals)
  
• Reliability Analysis*, including Correlationmatrix, Covariancematrix, ANOVA-F-Table, Item statistics, Item Total-statistics, Scale-statistics, Summaries, Hotelling T-Squared, Tukey test for nonadditivity, Intraclass correlations. Models: Alpha, split-half, Guttman, parallel, strict-parallel.
• One-Sample Variance Test
• k-Sample Variance Test (Levene's Test for homogeneity of variances)

• Survival Analysis: *
• Kaplan Meier (Define Stratum and Factor, Log-Rank, Breslow and Tarone-Ware tests, tes for linear trend, Plots)