P-value is the level of marginal significance within a statistical hypothesis test, representing the probability of the occurrence of a given event.

Learn about the factors involved in this calculation and how a P-value can influence your investment hypothesis.

P-values have taken quite a beating lately. These widely used and commonly misapplied statistics have been blamed for giving a veneer of legitimacy to dodgy stu… ...

“Informally, a p-value is the probability under a specified statistical model that a statistical summary of the data (for example, the sample mean difference between two compared groups) would ...

800 scientists say it’s time to abandon “statistical significance” P-values and “statistical significance” are widely misunderstood. Here’s what they actually mean.

A P value of 0.05 or less is generally taken to mean that a finding is statistically significant and warrants publication. But that is not necessarily true, the ASA statement notes.

Peer-reviewed journals have largely insisted on P values as a standard of worthiness. But now the editors of one journal have banned the statistical tool.