Sample Size Determination for Some Common Nonparametric Tests

Abstract 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.