Description
Statistics Done Wrong is a pithy, essential guide to statistical blunders in up to date science so that they can show you how to keep your research blunder-free. You can examine embarrassing errors and omissions in up to date research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics.
You’ll find advice on:
- Asking the right question, designing the right experiment, selecting the proper statistical analysis, and sticking to the plan
- How to take into accounts 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
Scientists: Read this concise, powerful guide that can assist you produce statistically sound research. Statisticians: Give this book to everyone you realize.
The first step toward statistics done right is Statistics Done Wrong.