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P-Hacking: Crash Course Statistics #30

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Brief summary

P-Hacking: Crash Course Statistics #30 exposes how researchers manipulate data to get publishable p-values, using examples like the Cornell buffet study to show why pre-planned analyses and corrections like Bonferroni are crucial for scientific integrity.

Categories with P-Hacking: Crash Course Statistics #30

Education & Learning Psychology