Introduction

The p value is an important concept in frequentist statistics, and it is usually taught in introductory statistics courses.

Unfortunately, many of these courses either do a poor job of explaining what the p-value can (and cannot) do or blatantly promote false propaganda relating to the role of the p value in causal inference.

This has led many undergraduate students, and even academics who should know better, to make incorrect claims in their research, all because they found a p value of less than 0.05.

The goal for this article is to clear up the myths surrounding the p value, and hopefully, encourage data scientists to look beyond the p value in their own projects.

#science #statistics #machine-learning #data-science #math