The chi-square test tests the significance of the data in an R X C contingency table in which R stands for row and C stands for column.

Name: The chi-square test tests the significance of the data in an R X C contingency table in which R stands for row and C stands for column.
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The chi-square test is used to determine the significance of observed differences in frequency distributions in an R X C contingency table where R represents the rows and C represents the columns.

The Chi-Square Test Tests the Significance of the Data in an R