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P-Value Problems.
- Format:
- Video
- Series:
- Academic Video Online
- Crash Course Statistics
- Language:
- English
- Subjects (All):
- Statistical hypothesis testing.
- Statistical methods.
- Physical Description:
- 1 online resource (12 minutes)
- Other Title:
- P-Value Problems - Crash Course Statistics
- Place of Publication:
- [Place of publication not identified] : Crash Course Statistics, [date of publication not identified]
- System Details:
- video file
- Summary:
- 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.
- Notes:
- Title from resource description page (viewed November 16, 2021).
- Part of the metadata in this record was created by AI.
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