Analysis
We selected the chi-square test of independence for data analyses because the dependent variable is measured on a nominal scale of measurement and we have two independent groups in our design (in-charge man and in-charge woman). The chi-square test of independence is a nonparametric test, so we make no distributional assumptions about check presentation in the population. The chi-square test of independence does require random sampling and independence of observation. Our study meets both of these assumptions, so we can proceed to data analysis.

We have reviewed the steps needed to correctly select the statistic needed to test our hypothesis. Proceed to the Practice Exercises to test your knowledge.