The logic behind the chi-square test is to compare the observed frequencies with the expected frequencies in the data set.

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The chi-square test is a statistical test that compares the observed frequencies of a data set with the frequencies that would be expected based on a null hypothesis. The test helps to determine whether there is a significant difference between the observed and expected frequencies, and can be used to test for independence or goodness of fit.

The Logic Behind the Chi-Square Test Is to Compare the Observed