Analysis of variance

Analysis of variance with repeated measures

Asymmetric lambda

Bartlett's test

Binary Segmentation techniques

Canonical correlation

Chi-square goodness of fit

Chi-square tests

Clustering techniques

Cochran's Q

Coefficient from curvilinear regression

Coefficient of variation

Cohen's agreement coefficients

Confirmatory factor analysis

Contingency coefficient

Covariance analysis

Cramer's V

Distribution of relative frequencies

Distribution of absolute frequencies

Dummy variable regression or multiple classification analysis

Dummy Variable regression using least squares or maximum likelihood

Eta-squared

Factor analysis of variance-covariance matrix

Factor analysis of correlation matrix

Fisher's exact test

Fisher's r to Z transformation and the critical ratio for Z

Friedman

Goodman and Kruskal's gamma

Inter-quartile deviation

Intraclass correlation coefficient

Kelley's epsilon

Kendall's coefficient of Concordance (W)

Kendall's tau a

Kendall's tau b

Kendall's tau c

Kolmogorov-Smirnov two-sample test

Kruskal-Wallis test

Kurtosis

Lilliefors test

Mann-Whitney U

McNemar's test of symmetry

Mean

Median test

Median

Mode

Multidimensional contingency table analysis

Multiple correlation

Multiple curvilinear regression

Multiple Discriminant function

Maximum likelihood chi-square

Non-metric multidimensional scaling

N-tiles

Omega-squared

Part correlation

Partial correlation

Path analysis

Pearson chi-square

Pearson's product moment r

Phi

Pillai Bartlett V

Profile analysis

Q-type factor analysis

Range

Regression coefficient

Roy's greatest root criterion

Runs test

Sign test

Skewness