Learn how to avoid common mistakes in scientific data analysis with clear explanations and practical examples. Available in English, Japanese, and Korean.
Understand and avoid common statistical mistakes
Statistics Done Wrong is a helpful resource for scientists and students who want to improve their understanding of statistical analysis. The site explains common pitfalls in statistics, such as misinterpreting p-values or using underpowered tests, and offers clear, practical advice on how to avoid these errors.
You can explore easy-to-read guides, real-world examples, and in-depth discussions on topics like regression to the mean and statistical power. Whether you’re new to statistics or looking to sharpen your skills, the site makes complex concepts accessible without heavy jargon.
The material is available in multiple languages, making it a great reference for an international audience. If you’re working with data in science or research, this site can help you make better decisions and avoid mistakes that could affect your results.
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