Chi-squared test for homogeneity

The Chi-squared test for homogeneity determines whether different groups have similar proportions of a specific characteristic. For example, it can compare the distribution of favorite ice cream flavors across various cities. The test checks if differences observed are due to actual variation or just chance. By analyzing the data in a table, it calculates a value that indicates whether the groups are similar (homogeneous) or different. If the value is high enough, it suggests the groups differ significantly in their characteristics. This helps researchers understand if distributions are consistent across different populations or groups.