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
Language Notes:	In English.
Published:	[Place of publication not identified] : Crash Course Statistics, 2018.
Series:	Academic Video Online
Subjects:	Statistics > Study and teaching. Research > Statistical methods. Research > Data processing. Research > Methodology. Statistique > Étude et enseignement. Recherche > Méthodes statistiques. Recherche > Méthodologie. Research > Data processing Research > Methodology Research > Statistical methods Statistics > Study and teaching Educational films Short films Educational films. Short films. Films éducatifs. Courts métrages.
Online Access:	Connect to this streaming video (Alexander Street Press)

Description
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