Common Errors in Statistics (and How to Avoid Them)

Common Errors in Statistics (and How to Avoid Them) is an indispensable guide for anyone who uses statistics in their work or research.

This comprehensive resource provides a mathematically rigorous yet accessible foundation in statistics, covering key methods and practices for accurate analysis, reporting, and model building.

With a focus on debunking popular myths and providing techniques for avoiding common mistakes, this book is essential for students, professionals, and anyone looking to improve their statistical skills.

The Fourth Edition includes new topics such as baseline data, detecting fraud, linear regression versus linear behavior, case control studies, minimum reporting requirements, and non-random samples.

Whether you're designing experiments, surveys, or clinical trials, this book will give you the tools you need to make informed decisions and avoid costly errors.

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