Power Analysis Calculator
Calculate the required sample size for a study given the effect size, significance level, and desired statistical power.
Inputs
Results
Required Sample Size (per group)
32
Total Subjects Needed
32
How to Use This Calculator
- Enter Effect Size (Cohen, Significance Level (α), and Statistical Power (1-β).
- Set Test Type (1=one-sample, 2=two-sample, 3=paired).
- Review Required Sample Size (per group) and Total Subjects Needed.
- Use Z-Alpha (two-tailed) and Z-Beta to inform your decision.
- Use the chart to visualize the results and explore different scenarios by adjusting inputs.
How the result changes with Statistical Power (1-β)
| Statistical Power (1-β) | Required Sample Size (per group) | Total Subjects Needed |
|---|---|---|
| 0.55 | 18 | 18 |
| 0.68 | 24 | 24 |
| 0.82 | 34 | 34 |
| 0.95 | 52 | 52 |
What each input means
- Effect Size (Cohen's d)
- Expected standardized effect size. Small=0.2, Medium=0.5, Large=0.8.
- Significance Level (α)
- Probability of rejecting a true null hypothesis (Type I error rate). Common: 0.05.
- Statistical Power (1-β)
- Probability of detecting an effect when it exists. Common: 0.80 or 0.90.
- Test Type (1=one-sample, 2=two-sample, 3=paired)
- 1 = One-sample t-test, 2 = Two-sample t-test (per group), 3 = Paired t-test.
How this is calculated
Worked example, using the default values
- Identify Input Parameters4 parametersEffect Size (Cohen's d) = 0.5, Significance Level (α) = 0.05, Statistical Power (1-β) = 0.8, Test Type (1=one-sample, 2=two-sample, 3=paired) = 1 = 4 input(s) provided
- Calculate Required Sample Size32 = 32
- Calculate Total Subjects Needed32 = 32
- Calculate Z-AlphaZ-Alpha1.9604 = 1.9604
- Calculate Z-BetaZ-Beta0.8415 = 0.8415
Engine last updated . Checked against 2 independently-derived tests — how we verify calculators.
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