XLSTAT - Tests on Contingency Tables

Principles of the tests on contingency tables

Tests on contingency tables are used to calculate tables derived from a contingency table, to test the association between rows and columns, and to calculate various specific statistics.

Tests of independence between the rows and the columns of a contingency table

• Pearson's Chi-square statistic,
• the Wilks' G²,
• the approximation of the Fisher's exact test (two-tailed),
• Monte Carlo test.

Association coefficients between the rows and the columns of a contingency table

• the Phi coefficient,
• the Contingency coefficient,
• Cramer's V,
• Tschuprow's T,
• Goodman and Kruskal tau (R/C) and (C/R),
• Cohen’s kappa,
• Yule’s Q,
• Yule’s Y.

Association coefficients between the rows and the columns of a contingency table with confidence ranges

• Goodman and Kruskal Gamma,
• Kendall’s tau,
• Stuart’s tau,
• Somers’ D (R/C) and (C/R),
• Theil’s U (R/C) and (C/R),
• Odds ratio and Log(Odds ratio).