Type II Error (β) & Statistical Power Calculator
Calculate the probability of a Type II Error (β) and Statistical Power (1-β) for hypothesis tests. Supports Z-test, T-test, and Proportion tests with intuitive inputs.
α
Target
μ₀
μ₁
σ
n
📊 Interpretation: Type II Error (β) is the probability of failing to reject a false null hypothesis. Power (1-β) is the probability of correctly detecting an effect. Higher power (>0.8) is generally desired.
Quick Scenarios
Type II Error & Power Analysis Results
⚠️
Type II Error (β)
—
Probability of false negative
⚡
Statistical Power (1-β)
—
Probability of detecting effect
📏
Effect Size (Cohen's d / h)
—
Standardized magnitude
🎯
Critical Value
—
Rejection region boundary
Detailed Interpretation & Recommendations
Significance Level (α):
0.05
Test Type / Tail:
Z-test (Two-tailed)
Sample Size (n):
—
Effect Magnitude:
—
Power Assessment:
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Required n for 80% Power:
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Risk of Type II Error:
—
Cohen's Benchmark:
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