A chi-square (also called chi-squared) test is a classical statistics technique that can be used to determine if observed-count data matches expected-count data. For example, suppose you have three ...

A chi-squared goodness of fit test, which is used to test whether the observed frequencies (number of observations in each category) of one variable are different from what was expected. In other ...

Types of chi-squared test There are two main types of the chi-squared test: A chi-squared goodness of fit test, which is used to test whether the observed frequencies (number of observations in each ...

All the two-way test statistics described in this section test the null hypothesis of no association between the row variable and the column variable. When the sample size n is large, these test ...

The frequency tables list the variable values (hair color) in the order in which they appear in the data set. The "Test Percent" column lists the hypothesized percentages for the chi-square test.