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.