A contingency table allows researchers to perform statistical tests to determine if there is a significant association between the variables. Commonly used tests include the Chi-Square Test and the Fisher's Exact Test. These tests help to ascertain whether the observed frequencies differ significantly from what would be expected under the null hypothesis of no association.
