Not Significant: What Now?

Gerhard Marinell, Gabriele Steckel-Berger and Hanno Ulmer

Journal of Probability and Statistics, 2012, vol. 2012, 1-6

Abstract:

In a classic significance test, based on a random sample with size , a value will be calculated at size aiming to reject the null hypothesis. The sample size , however, can retrospectively be divided into partial samples and a test of significance can be calculated for each partial sample. As a result, several partial samples will provide significant values whereas others will not show significant values. In this paper, we propose a significance test that takes into account the additional information from the values of the partial samples of a random sample. We show that the values can greatly modify the results of a classic significance test.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnljps:804691

DOI: 10.1155/2012/804691

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