O'Reilly logo

Data Analysis with R - Second Edition by Tony Fischetti

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

A warning about p-values

P-values are, by far, the most talked about metric in NHST. P-values are also notorious for lending themselves to misinterpretation. Of the many criticisms of NHST (of which there are many, in spite of its ubiquity), the misinterpretation of p-values ranks highly. The following are two of the most common misinterpretations:

  1. Myth: A p-value is the probability that the null hypothesis is true. This is not the case. Someone misinterpreting the p-value from our first binomial test might conclude that the chances of the coin being fair are around 10%. This is false. The p-value does not tell us the probability of the hypothesis' truth or falsity. In fact, the test assumes that the null hypothesis is correct. It tells ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required