Wilcoxon test (paired samples)

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Description

The Wilcoxon test for paired samples is the non-parametric equivalent of the paired samples t-test. It should be used when the sample data are not Normally distributed, and they cannot be transformed to a Normal distribution by means of a logarithmic transformation.

Required input

Dialog box for Wilcoxon test

Select the variables for sample 1 and sample 2, and a possible filter for the data pairs. You can use the Drop-down button button to select variables and filters in the variables list.

Results

The Wilcoxon test for paired data ranks the absolute values of the differences between the paired data in sample 1 and sample 2 and calculates a statistic on the number of negative and positive differences (differences are calculated as sample 2 - sample 1).

Results for Wilcoxon test

Literature

  • Altman DG (1991) Practical statistics for medical research. London: Chapman and Hall.

See also

External links

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