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Statistics Done Wrong (Reinhart)

  • Page ID
    27496
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    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 swaths 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.


    This page titled Statistics Done Wrong (Reinhart) is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by Alex Reinhart via source content that was edited to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.