ABSTRACT
The chi-square test looks to see if there are differences between groups, just as many other statistical tests do (e.g., t-test or ANOVA). What is unique about the chi-square test is that it is designed to study group differences when the outcomes of interest are frequencies. Previously, we looked at group differences when the outcomes of interest were means, and we used a t-test or ANOVA for that.
