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Hypothesis testing | Null Hypothesis (H₀) vs Alternative Hypothesis (H₁) | Statistics

Автор: Ermi E-learning

Загружено: 2025-01-09

Просмотров: 48877

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Null Hypothesis This is the statement of "no effect" or "no difference." It represents the status quo or what is generally believed to be true. It always contains an equality .
Example: The average height of women is 5'4"
 
Alternative Hypothesis : This is the statement you're trying to find evidence for. It contradicts the null hypothesis. It contains an inequality .

Type I error false positive: Rejecting H₀ when it's actually true.  
Type II error false negative: Failing to reject H₀ when it's actually false.

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Hypothesis testing | Null Hypothesis (H₀) vs Alternative Hypothesis (H₁) | Statistics

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