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).

XLSTAT

This analysis is available in the XLStat-Base addin for Microsoft Excel

About KCS

Kovach Computing Services (KCS) was founded in 1993 by Dr. Warren Kovach. The company specializes in the development and marketing of inexpensive and easy-to-use statistical software for scientists, as well as in data analysis consulting.

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