This document discusses how to perform and interpret a chi-square test. It provides the steps to conduct a chi-square test: 1) make a hypothesis, 2) determine expected frequencies, 3) create a table with observed and expected frequencies and chi-square values, 4) find degrees of freedom, 5) find the chi-square statistic, and 6) determine whether to reject or fail to reject the null hypothesis based on whether the chi-square statistic is greater than the calculated value. An example is provided showing a chi-square test performed on package color preferences to test the hypothesis of equal preference, finding the null hypothesis should be rejected.