Category:Homogeneity of Variance

This category contains results about Homogeneity of Variance.
Definitions specific to this category can be found in Definitions/Homogeneity of Variance.

Many statistical techniques require the assumption that all population variances are equal.

Several tests have been devised for checking whether this assumption is reasonable, given some relevant data.

As follows:

• Bartlett's test works well when the data fits a normal (Gaussian) distribution, but less when when this assumption is invalid.

• Levene's test is sometimes preferred to Bartlett's test.

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Some non-parametric tests that can be used:

• The Siegel-Tukey test

• The Conover squared rank test

• The Ansari-Bradley test.

and others.