Statistics Done Wrong

The woefully complete guide

by Alex Reinhart

If you’re a practicing scientist, you probably use statistics to analyze your data. From basic t tests and standard error calculations to Cox proportional hazards models and propensity score matching, we rely on statistics to give answers to scientific problems.

This is unfortunate, because most of us don’t know how to do statistics.

Statistics Done Wrong is a guide to the most popular statistical errors and slip-ups committed by scientists every day, in the lab and in peer-reviewed journals. Many of the errors are prevalent in vast swaths of the published literature, casting doubt on the findings of thousands of papers. Statistics Done Wrong assumes no prior knowledge of statistics, so you can read it before your first statistics course or after thirty years of scientific practice.

If you find any errors or typos, or want to suggest other popular misconceptions, contact me. If you find this website useful, consider buying the book!

There's a book!

The revised and expanded Statistics Done Wrong, now with new statistical errors and examples, is available for preorder! It's due in spring 2015! Want to get an email when it arrives? Sign up!

Table Of Contents