-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 Scientists: Read this concise, powerful guide to help you produce statistically sound research. Statisticians: Give this book to everyone you know. The first step toward statistics done right is Statistics Done Wrong.
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