Power of the Test Calculator
Visualize how power changes with different parameter values
H₀ Distribution (μ = 100)
H₁ Distribution (μ = 105.0)
Power = 0.5718
μ₀ = 100
μₐ = 105.0
Results
Null Hypothesis (H₀)
μ = 100
Alternative Hypothesis (H₁)
μ > 100
Critical Value(s)
1.6449
Standard Error
2.7386
Power of the Test
0.5718
Type II Error (β)
0.4282
💡 Understanding Power
Power is the probability of correctly rejecting a false null hypothesis. Higher power means better ability to detect a real effect when it exists.