The chi-square test for homogeneity is a statistical test used to compare the distributions of multiple groups or populations based on categorical data. It determines whether the proportions or frequencies across different groups are significantly different from each other.
Related terms
Expected frequencies: The values calculated under the assumption that there is no difference between groups in a chi-square test for homogeneity.
Test statistic: A value calculated from sample data that helps determine whether to reject or fail to reject the null hypothesis.
Significance level (alpha): The predetermined threshold used to determine statistical significance in hypothesis testing.