PROPHET StatGuide: Two-sample paired sign test


The two-sample paired sign test is used to test the null hypothesis that the probability of a random value from the population of paired differences being above the specified value is equal to the probability of a random value being below the specified value.


Assumptions:

Note that it is not assumed that the two samples are independent of each other. In fact, they should be related to each other such that they create pairs of data points, such as the measurements on two matched people in a case/control study, or before- and after-treatment measurements on the same person.

The two-sample paired sign test is equivalent to performing a one-sample sign test on the paired differences.

McNemar's Q test is a variant of the sign test.


Guidance:

To properly analyze and interpret results of results of the two-sample paired sign test, you should be familiar with the following terms and concepts: If you are not familiar with these terms and concepts, you are advised to consult with a statistician. Failure to understand and properly apply the two-sample paired sign test may result in drawing erroneous conclusions from your data. Additionally, you may want to consult the following references:

Examine the glossary.

Do a keyword search of PROPHET StatGuide.

Back to StatGuide testing equality of means/location page.

Back to StatGuide nonparametric tests page.

Back to StatGuide home page.

Last modified: March 14, 1997

©1996 BBN Corporation All rights reserved.