This document discusses Chi-Square tests. It begins with an overview of Chi-Square, noting that it is a non-parametric test where the test statistic follows a Chi-Square distribution. It then discusses the characteristics of Chi-Square tests, including that they are distribution free and easy to calculate. Several common uses of Chi-Square tests are provided, such as testing goodness of fit and independence. The document then separates into two phases - the first discussing theory and the second providing examples. Phase one delves further into the equation, level of significance, and degrees of freedom. Phase two demonstrates steps for performing a Chi-Square test using observed and expected values.