Interpretation of chi square in stata?

In Stata, the chi-square test is used to determine if there is a significant association between two categorical variables. After running a chi-square test using the tabulate command with the chi2 option, Stata provides a chi-square statistic and a corresponding p-value. A low p-value (typically < 0.05) indicates that there is a significant association between the variables, suggesting that the observed frequencies differ from expected frequencies under the null hypothesis of independence. It's important to also check the assumptions of the chi-square test, including the expected frequency in each cell being at least 5.