Description
- Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan
- How to think about p values, significance, insignificance, confidence intervals, and regression
- Choosing the right sample size and avoiding false positives
- Reporting your analysis and publishing your data and source code
- Procedures to follow, precautions to take, and analytical software that can help
Details
Attention all scientists, researchers, and statisticians! Are you tired of seeing statistical blunders in modern science? Look no further than Statistics Done Wrong. This comprehensive guide book provides essential insights on how to avoid common mistakes and misconceptions in statistical analysis. Say goodbye to embarrassing errors and omissions, and hello to blunder-free research!
With Statistics Done Wrong, you will learn the importance of asking the right questions, designing accurate experiments, and choosing the correct statistical analysis methods. Dive into topics like p values, significance, confidence intervals, and regression with confidence. Avoid false positives, select the ideal sample size, and discover the secrets to robust data reporting and analysis.
Scientists, it's time to elevate your research game. Statisticians, spread the word about this powerful resource to help others produce statistically sound research. Make the first step toward statistics done right by getting your hands on a copy of Statistics Done Wrong today!
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