Poder teste 1 − β
- Created by
- Renato Passos, Eng. de Software
- Reviewed by
- Renato Passos, Eng. de Software
Last updated: Apr 18, 2026
About this calculator
The 1 − β Test Power Calculator converts the β value into 1 − β, representing the statistical power of a test. Power indicates the probability of detecting a true effect when it exists, or correctly rejecting a false null hypothesis. β corresponds to the Type II error probability (failing to reject a false hypothesis). The formula used is straightforward: 1 − β.
To use the calculator, input the β value (e.g., 0.10) and the result will show the test's power. For example, if β = 0.20, 1 − β becomes 0.80, meaning an 80% chance to detect a real effect. This is critical in scientific studies to ensure the sample size is adequate to identify small but meaningful effects.
This tool is recommended for experimental design, data analysis, and scientific paper reviews. Common precautions include validating β input (must be between 0 and 1), understanding that 1 − β alone does not guarantee statistical significance, and contextualizing results with other parameters like significance level (α) and effect size.
Frequently asked questions
What is β in this context?
β is the Type II error probability, representing the chance of failing to reject a false null hypothesis. It indicates not detecting a true effect.
How does the calculator convert β to 1 − β?
The formula is a direct subtraction: 1 − β. For example, if β = 0.10, the power becomes 0.90 (90%).
When should I use this tool?
Use it to calculate the power of a statistical test, especially in experiment design or scientific study reviews.
Can I input values in percentage?
Yes, but convert them to decimal first. Ex: 20% should be entered as 0.20.
What if I input an invalid β?
The calculator will show an error. β must be a number between 0 and 1 (excluding 0 and 1).