Critical values differ depending on the type of statistical test carried out, but often values represent significance levels of 1, 5 or 10 percent. Rejecting the null at 1 percent implies absolute ...

Hypothesis testing is a procedure for evaluating the strength of a hypothesis. The methodology depends on the data and the reason for the analysis.

During his Ph.D. research, mathematician Tyron Lardy worked on a new approach to hypothesis testing. Instead of the traditional p-value, he uses so-called e-values. These turn out to be more ...

The test depends on an extrinsic hypothesis, because it requires theoretical expected values to be calculated.

The critical-period hypothesis for second-language acquisition was tested on data from the 1990 U.S. Census using responses from 2.3 million immigrants with Spanish or Chinese language backgrounds.

In this paper we produce a table of critical values of Mood's test statistic which may be used in the distribution-free comparison of the dispersions of two independent samples. As far as we know the ...