Power Analysis Calculator
Introduction & Importance
Power analysis is a crucial step in designing a study to ensure it has a high probability of detecting an effect if one exists…
How to Use This Calculator
- Enter the effect size, standard deviation, and significance level.
- Click ‘Calculate’.
- View the results and chart.
Formula & Methodology
The power of a test is calculated using the formula: P = 1 – β, where β is the probability of a Type II error…
Real-World Examples
Example 1
Suppose we want to test the effect of a new drug on blood pressure…
Data & Statistics
| Effect Size | Standard Deviation | Significance Level | Power |
|---|---|---|---|
| 0.5 | 1 | 0.05 | 0.892857 |
| 0.8 | 1.5 | 0.01 | 0.999999 |
Expert Tips
- Always consider the trade-off between Type I and Type II errors.
- Power analysis should be done before data collection.
Interactive FAQ
What is power in statistics?
Power is the probability that a statistical test will reject the null hypothesis when the alternative hypothesis is true.
For more information, see UK Statistics Authority and Centers for Disease Control and Prevention.