In the case where R = 2 and C = 2 , a continuity correction has been suggested by Yates (1934).Ī test based on the likelihood ratio and on the Wilks’ G 2 statistic has been developed as an alternative to the Pearson chi-square test. That at least 80% of the expected values is above 5 However, this result is asymptotical and, before using the test, it is recommended to make sure that: One shows that this statistic follows a Chi-square distribution with (R-1)(C-1) degrees of freedom. The Pearson chi-square statistic allows to test the independence between the rows and the columns of the table, by measuring to which extent the observed table is far (in the chi-square sense) from the expected table computed using the same marginal sums.Tests of independence between the rows and the columns of a contingency table in XLSTAT ![]() ![]() Tests on contingency tables are used to evaluate the association and the independence between the rows and the columns of a contingency table as well as to calculate various association measures.
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