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.
I'm Brett Slatkin and this is where I write about programming and related topics. You can contact me here or view my projects.
05 January 2014
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10:48
Fun repository of common statistics mistakes:
About
I'm the author of the book
Effective Python. I'm a software engineer and I've worked at Google for the past 14 years. My main areas of focus are survey statistics and A/B testing. I formerly worked on Cloud infrastructure and open protocols.
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