Statistics Done Wrong
by Alex Reinhart
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.
Description from LibreTexts.
- Publisher
- Carnegie Mellon University
- Subjects
- Statistics, Introductory Statistics
- Licence
- CC BY 4.0, as LibreTexts states it
- Who can read
- Tweens profiles and older, judged from its title and subjects