There are two types of Pearson’s chi-square tests: The chi-square goodness of fit test is used to test whether the frequency distribution of a categorical variable is different from your expectations. The chi-square test of independence is used to test whether two categorical variables are related to each other.
What is a chi-square test?
A chi-square test (a chi-square goodness of fit test) can test whether these observed frequencies are significantly different from what was expected, such as equal frequencies.
Which chi-square test should I use?
There are two commonly used Chi-square tests: the Chi-square goodness of fit test and the Chi-square test of independence. Both tests involve variables that divide your data into categories. As a result, people can be confused about which test to use. The table below compares the two tests.
