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Crash Course Statistics - Season 1 Episode 22
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.
- Odun: 2019
- Orilẹ-ede: United States of America
- Oriṣi:
- Situdio: YouTube
- Koko-ọrọ: mathematics, educational, statistics, statistician
- Oludari:
- Simẹnti: Adriene Hill