There are two types of inferential tests: parametric and nonparametric. Parametric tests assume normally distributed data where the shape can be mathematically described, while nonparametric tests make no assumptions about the distribution. The two chi-square tests are the chi-squared test of independence, which examines the relationship between two categorical variables, and the chi-squared goodness of fit test, which assesses how well a distribution fits an expected distribution.