I've stumbled onto a web-based primer on applied statistics that makes for a good PM's guide to the subject... easy reading, short chapters, and a decent table of contents.
The marketing line is: "Statistics Done Wrong is a guide to the most popular statistical errors and slip-ups committed ... every day. ... Statistics Done Wrong assumes no prior knowledge of statistics, so you can read it before your first statistics course or after thirty years of ... practice."
Entitled "Statistics Done Wrong", by Alex Reinhart, here's what you'll find:
- Table Of Contents
- An introduction to data analysis
- The power of p values
- Statistical power and underpowered statistics
- Pseudoreplication: 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 mean
- Researcher freedom: good vibrations?
- Everybody makes mistakes
- Hiding the data
- What have we wrought?
- What can be done?
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