P-value (Probability Value): The p-value is a statistical measure used in research to help decide whether the results of a study are likely due to chance. More specifically, it represents the ...

Over the past couple of years, Stanford meta-researcher John Ioannidis and several colleagues have been working on a paper that should make any nerd think twice about p-values, those tests of ...

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 ...

How many statisticians does it take to ensure at least a 50 percent chance of a disagreement about p-values? According to a tongue-in-cheek assessment by statistician George Cobb of Mount Holyoke ...

Last week a team of 72 scientists released the preprint of an article attempting to address one aspect of the reproducibility crisis, the crisis of conscience in which scientists are increasingly ...

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 ...

P values indicate how incompatible the observed data may be with a null hypothesis; “P<0.05” implies that a treatment effect or exposure association larger than that observed would occur less than 5% ...