A small p-value often means the observed data effect is statistically significant. Set a significance level to compare with the p-value to validate investment hypotheses. Utilizing p-values in Excel ...

The 'Statement on Statistical Significance and P-Values' includes six principles underlying the proper use and interpretation of the p-value and is intended to improve the conduct and interpretation ...

In science, the success of an experiment is often determined by a measure called “statistical significance.” A result is considered to be “significant” if the difference observed in the experiment ...

https://doi.org/10.2307/2335854 • https://www.jstor.org/stable/2335854 Copy URL Repeated significance testing can be used as a multistage testing procedure which ...

This week, The American Statistician published a special issue, "Statistical Inference in the 21st Century: A World Beyond p < 0.05," which includes 43 new papers by leading statisticians. The ...

In statistical practice P-values are regularly used to express the amount of evidence in the data, but there is no agreement on how to compute two-sided P-values when the sampling distributions are ...

What to do with significance testing, the bench scientist’s statistical workhorse? Short of tossing it out once and for all, there are proposals to toughen conventional practice. These proposals seek ...