Crash Course Statistics
2.00/10
2019-01-09
13 minutes.
HD
Last week we introduced p-values as a way to set a predetermined cutoff when testing if something seems unusual enough to reject our null hypothesis - that they are the same. But today we’re going to discuss some problems with the logic of p-values, how they are commonly misinterpreted, how p-values don’t give us exactly what we want to know, and how that cutoff is arbitrary - and arguably not stringent enough in some scenarios.
Year: 2019
Studio: YouTube
Country: United States of America
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Crash Course Statistics
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