Tests for the homogeneity of variance of independent samples and their properties and assumptions.
Assumes the populations are normally distributed and is extremely sensitive to departures from normality. The Levene and Brown-Forsythe tests are more robust against violations of the normality assumption than the F-test.
Assumes the populations are normally distributed and is extremely sensitive to departures from normality. The Levene and Brown-Forsythe tests are more robust against violations of the normality assumption than Bartlett's test.
Most powerful test for symmetric, moderate-tailed, distributions.
Robust against many types of non-normality.
