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 ...

The increasing concern about the role of p values in science has gone from a murmur to a loudly expressed concern. Is this just an insider's argument or is it a matter we should take seriously?

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 reliability and reproducibility of science are under scrutiny. However, a major cause of this lack of repeatability is not being considered: the wide sample-to-sample variability in the P value.

Senior Lecturer in Comparative and Environmental Physiology, University of Roehampton How should scientists interpret their data? Emerging from their labs after days, weeks, months, even years spent ...

Geoff Cumming has received funding from the Australian Research Council. For researchers there’s a lot that turns on the p value, the number used to determine whether a result is statistically ...

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 ...

Whether you rely on fundamental analysis or technical analysis to identify promising investments, it’s helpful to have a working knowledge of statistical terms. Not every investor will be competent to ...