Calculate the statistical power of a test given sample size and effect.
Test Parameters
Power Analysis
Assessment
Adequate Power
Statistical Power (1-β)89.21%Target: >80%
Type II Error Rate (β)10.79%
Calculated for absolute change 0.10 → 0.1200
About this calculator
Overview
Statistical power is the probability that a test will correctly reject a false null hypothesis (i.e., detect an effect if there is one). A common target is 80%.
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Pro Tips
If power < 80%, consider increasing your sample size.
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Fun Facts
"Low power increases the risk of 'false negatives' (Type II errors)."
"Increasing sample size is the most common way to increase power."
