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Sample Size Determination for Some Common Nonparametric Tests
Gottfried E. Noether
Journal of the American Statistical Association
Vol. 82, No. 398 (Jun., 1987), pp. 645-647
Stable URL: http://www.jstor.org/stable/2289477
Page Count: 3
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The article discusses the problem of determining the number of observations required by some common nonparametric tests, so that the tests have power at least 1 - β against alternatives that differ sufficiently from the hypothesis being tested. It is shown that the number of observations depends on certain simple probabilities. A method is suggested for fixing the value of the appropriate probability when determining sample size.
Journal of the American Statistical Association © 1987 American Statistical Association