Hypothesis test

Siegel-Tukey Test for Scale Differences

The Siegel-Tukey test is a nonparametric hypothesis test that detects differences in variability (spread) between two independent groups whose central tendencies are equal or have been equalised. Introduced by Sidney Siegel and John W. Tukey in 1960, it is the nonparametric counterpart of Levene's test and requires no assumption of normality.

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Sources

  1. Siegel, S. & Tukey, J. W. (1960). A Nonparametric Sum of Ranks Procedure for Relative Spread in Unpaired Samples. Journal of the American Statistical Association, 55(291), 429–444. DOI: 10.1080/01621459.1960.10482073

Related methods

Referenced by

ScholarGateSiegel-Tukey test (Siegel-Tukey Test for Scale Differences). Retrieved 2026-06-04 from https://scholargate.app/en/statistics/siegel-tukey-test