A chi-square test for independence is a statistical test used to determine if there is a significant association or relationship between two categorical variables. It compares the observed frequency distribution of data with the expected distribution if the two variables were independent. If the difference between observed and expected frequencies is large enough, the null hypothesis (which assumes no association between the variables) is rejected, suggesting that the variables are dependent.