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P-Hacking: Crash Course Statistics #30

2018-09-05

[public] 87.2K views, 3.01K likes, 36.0 dislikes audio only

Today we're going to talk about p-hacking (also called data dredging or data fishing). P-hacking is when data is analyzed to find patterns that produce statistically significant results, even if there really isn't an underlying effect, and it has become a huge problem in science since many scientific theories rely on p-values as proof of their existence! Today, we're going to talk about a few ways researchers have "hacked" their data, and give you some tips for identifying and avoiding these types of problems when you encounter stats in your own lives.

XKCD's comic on p-hacking: https://xkcd.com/882/

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FAMILY WISE ERROR RATE
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NON-SIGNIFICANT OVERALL EFFECT
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BONFERRONI CORRECTION
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