Not Significant : What Now?

Abstract EN

In a classic significance test, based on a random sample with size n, a P value will be calculated at size n aiming to reject the null hypothesis.

The sample size n, however, can retrospectively be divided into partial samples (1,2,3,…,n-2,n-1,n) and a test of significance can be calculated for each partial sample.

As a result, several partial samples will provide significant P values whereas others will not show significant P values.

In this paper, we propose a significance test that takes into account the additional information from the P values of the n-1 partial samples of a random sample.

We show that the n-1 P values can greatly modify the results of a classic significance test.