A statistical technique used to evaluate the relationship or reliance between two category variables is the Chi-Square test. It is especially helpful in determining whether there is a substantial relationship between variables and whether the frequencies found in a contingency table significantly differ from the expected values based on independence.

Often used in studies to determine if one variable is dependent upon another, the Chi-Square Test for Independence (sometimes called the 2 Test for Independence) examines whether there is a significant association between two category variables.

Chi-Square Goodness-of-Fit Test: This test determines if the data that was seen fit into a certain distribution, be it uniform, normal, or any other expected distribution.