How does the Chi-Square Test for Homogeneity differ from the Chi-Square Test for Independence?

The Test for Homogeneity requires paired samples, while the Test for Independence does not.

The Test for Homogeneity is a parametric test, while the Test for Independence is non-parametric.

The Test for Homogeneity compares distributions across populations, while the Test for Independence assesses association between variables.

The Test for Homogeneity is used for continuous data, while the Test for Independence is for categorical data.