The paired-sample sign test is a non-parametric alternative to the paired-sample t-test. It is frequently used to test the effect of a treatment on a group of subjects. The data must be paired measurements (for example, "before" and "after" data resulting from a clinical trial).
Unlike the paired-sample t-test, the paired-sample sign test does not require the assumption of normality. Thus, when normality is questionable, the paired-sample sign test can be used in place of the paired-sample t-test.
If there are missing values in the data range, the whole pair will be excluded in the analysis
To perform a paired-sample sign test:
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