When can you use a chi-square goodness of fit test?

You can use a chi-square goodness of fit test when you have one categorical variable. It allows you to test whether the frequency distribution of the categorical variable is significantly different from your expectations. Often, but not always, the expectation is that the categories will have equal proportions.

What is chi square test?

This comprehensive guide gives you a deeper understanding of the Chi-Square Test, its mechanics, importance, and correct implementation. Chi-Square Test assess the association between two categorical variables. Chi-Square Test requires the data to be a random sample. Chi-Square Test is designed for categorical or nominal variables.

What are the different types of chi-square tests?

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.