Overrated statistical testing metric came to an end

Prady Doddala
Data Science Cafe
Published in
1 min readMar 10, 2016

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.

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

--

--