Crash course statistics. P-hacking.

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...

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Bibliographic Details
Format: Video
Language:English
Published: [Place of publication not identified] : Crash Course Statistics, 2018.
Series:Academic Video Online
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Online Access:Click for online access
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Summary: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.
Item Description:Title from resource description page (viewed April 13, 2022).
Physical Description:1 online resource (11 minutes)
Playing Time:00:10:21
Language:In English.