Abstract
A nonparametric test is one for which the stated Type I error rate holds no matter what distribution may underlie the observations. Nonparametric tests are thus broadly applicable and valid for testing, relying only on the assumption of random sampling, and generally requiring only simple calculation. The sign test is the simplest example of this class of procedures.
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Notes
- 1.
For discrete distributions, there could be several candidates for population median. In fact, a median in such cases is any number μ satisfying P [X < μ] ≤ 1/2 ≤ P [X ≤ μ].
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Finkelstein, M.O., Levin, B. (2015). Nonparametric Methods. In: Statistics for Lawyers. Statistics for Social and Behavioral Sciences. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-5985-0_12
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DOI: https://doi.org/10.1007/978-1-4419-5985-0_12
Publisher Name: Springer, New York, NY
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