Abstract
Abstract The simplicity and surprisingly good small-sample power properties of the ordinary sign test motivate its use, in suitably adapted form, as a dispersion test. The proposed test statistic is based on the number of observations lying more than a specified distance from the sample mean. For symmetric and moderately skewed distributions, the proposed test is robust and has good power properties.
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