<abstract xmlns="http://www.w3.org/1999/xhtml"><p> This paper discusses the problem of determining the number of observations necessary to apply the nonparametric Mann-Whitney test. We describe the method given by Noether (1987) for determining a sample size which guarantees that the Mann-Whitney test at a given significance level α has a predetermined power 1-β. The presented theory is tested by calculating the empirical power in computer simulations. The paper also raises the issue of the method of rounding the determined sample size to an even number when the sample is divided into two equinumerous subsamples.</p></abstract>

This paper discusses the problem of determining the number of observations necessary to apply the nonparametric Mann-Whitney test. We describe the method given by Noether (1987) for determining a sample size which guarantees that the Mann-Whitney test at a given significance level α has a predetermined power 1-β. The presented theory is tested by calculating the empirical power in computer simulations. The paper also raises the issue of the method of rounding the determined sample size to an even number when the sample is divided into two equinumerous subsamples.

Sample size determination in the Mann–Whitney test

Biometrical Letters

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Sample size determination in the Mann\u2013Whitney test"}

This paper discusses the problem of determining the number of observations necessary to apply the nonparametric Mann-Whitney test. We describe the method given...

Sample size determination in the Mann–Whitney test

Online veröffentlicht: 13. Dez. 2017

Seitenbereich: 175 - 186

DOI: https://doi.org/10.1515/bile-2017-0010

Schlüsselwörter
Mann-Whitney test, sample size, empirical power

© by Andrzej Kornacki

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Sample size determination in the Mann–Whitney test

Online veröffentlicht: 13. Dez. 2017

Seitenbereich: 175 - 186

DOI: https://doi.org/10.1515/bile-2017-0010

SchlüsselwörterMann-Whitney test, sample size, empirical power

© by Andrzej Kornacki

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Mann-Whitney test, sample size, empirical power