Source: Statistics Done Wrong website, date indeterminate
Statistics Done Wrong is a guide to the most popular statistical errors and slip-ups committed by scientists every day, in the lab and in peer-reviewed journals. Many of the errors are prevalent in vast swathes of the published literature, casting doubt on the findings of thousands of papers. Statistics Done Wrong assumes no prior knowledge of statistics, so you can read it before your first statistics course or after thirty years of scientific practice.
- An introduction to data analysis
- Statistical power and underpowered statisticsPseudoreplication: choose your data wisely
- The p value and the base rate fallacy
- When differences in significance aren’t significant differences
- Stopping rules and regression to the meanResearcher freedom: good vibrations?
- Everybody makes mistakes
- Hiding the dataWhat have we wrought?
- What can be done?Conclusion