2005Encyclopedia of BiostatisticsRequires access

Sign Tests

E. Jacquelin Dietz

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Abstract

Abstract The sign test is a simple distribution‐free test that can be applied easily in a variety of situations. Observations, which may be difference scores, are replaced by their positive or negative signs and analyzed using a binomial test. The specific applications discussed here are a location test for the median, the Cox–Stuart test for tend, and the McNemar test for correlated proportions.

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What this paper is about

Abstract The sign test is a simple distribution‐free test that can be applied easily in a variety of situations. Observations, which may be difference scores, are replaced by their positive or negative signs and analyzed using a binomial test. The specific applications discussed here are a location test for the median, the Cox–Stuart test for tend, and the McNemar test for correlated proportions.

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Available abstract

Abstract The sign test is a simple distribution‐free test that can be applied easily in a variety of situations. Observations, which may be difference scores, are replaced by their positive or negative signs and analyzed using a binomial test. The specific applications discussed here are a location test for the median, the Cox–Stuart test for tend, and the McNemar test for correlated proportions.

Key concepts: McNemar's test, Sign test, Test (biology), Statistics, Sign (mathematics), Mathematics, Negative binomial distribution, Wilcoxon signed-rank test

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