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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.
- Umwaka: 2019
- Igihugu: United States of America
- Ubwoko:
- Sitidiyo: YouTube
- Ijambo ryibanze: mathematics, educational, statistics, statistician
- Umuyobozi:
- Abakinnyi: Adriene Hill