Overrated statistical testing metric came to an end

The p-value is a function of the observed sample results (a test statistic) relative to a statistical model, which measures how extreme the observation is.

Yesterday(March 7th) ASA (American Statistical Association) has released a statement which you can access below.

The ASA’s statement on p-values: context, process, and purpose

And here is Norman Matloff from University of California, Davis. He has written a short blog post explaining the statement.

After 150 Years, the ASA Says No to p-values