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While the p-value can be a useful statistical measure, it is commonly misused and misinterpreted. This has led to some scientific journals discouraging the use ofp-values, and some scientists and statisticians recommending their abandonment, with some arguments essentially unchanged since p-values were first introduced. (View Highlight)

New highlights added 2024-03-19

Researchers often wish to turn a p-value into a statement aboutthe truthofanull hypothesis,orabout the probability that random chance produced the observed data. The p-value is neither. It is a statement about data in relation to a specified hypothetical explanation, and is not a statement about the explanation itself (View Highlight)

A p-value provides one approach to summarizing the incompatibility between a particular set of data and a proposed model for the data (View Highlight)