Statistics Done Wrong: The Woefully Complete Guide
(By Alex Reinhart)
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| Author | Alex Reinhart |
"Statistics Done Wrong" comes to the rescue with cautionary tales of all-too-common statistical fallacies. It'll help you see where and why researchers often go wrong and teach you the best practices for avoiding their mistakes.
In this book, you'll learn:
- Why "statistically significant" doesn't necessarily imply practical significance
- Ideas behind hypothesis testing and regression analysis, and common misinterpretations of those ideas
- How and how not to ask questions, design experiments, and work with data
- Why many studies have too little data to detect what they're looking for-and, surprisingly, why this means published results are often overestimates
- Why false positives are much more common than "significant at the 5% level" would suggest
By walking through colorful examples of statistics gone awry, the book offers approachable lessons on proper methodology, and each chapter ends with pro tips for practicing scientists and statisticians. No matter what your level of experience, "Statistics Done Wrong" will teach you how to be a better analyst, data scientist, or researcher.”
