Type I & II Errorsని ఎలా లెక్కించాలి

Type I & II Errors అంటే ఏమిటి?

Type I error (α) is rejecting a true null hypothesis (false positive). Type II error (β) is failing to reject a false null hypothesis (false negative). Power = 1−β. Reducing α increases β.

దశల వారీ గైడ్

1. 1Type I rate = α (significance level, typically 0.05)
2. 2Type II rate = β (typically 0.20 for 80% power)
3. 3Larger sample size reduces both error types simultaneously

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