Crash course statistics. How P-values help us test hypotheses.

Today we're going to begin our three-part unit on p-values. In this episode we'll talk about Null Hypothesis Significance Testing (or NHST) which is a framework for comparing two sets of information. In NHST we assume that there is no difference between the two things we are observing and...

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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. Statistical hypothesis testing. Statistique > Étude et enseignement. Tests d'hypothèses (Statistique) Statistical hypothesis testing 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 begin our three-part unit on p-values. In this episode we'll talk about Null Hypothesis Significance Testing (or NHST) which is a framework for comparing two sets of information. In NHST we assume that there is no difference between the two things we are observing and and use our p-value as a predetermined cutoff for if something seems sufficiently rare or not to allow us to reject that these two observations are the same. This p-value tells us if something is statistically significant, but as you'll see that doesn't necessarily mean the information is significant or meaningful to you.
Item Description:	Title from resource description page (viewed April 11, 2022).
Physical Description:	1 online resource (12 minutes)
Playing Time:	00:11:11