Calculate Sample Size to Reach 95% Confidence for Your A/B Test
| Sample Size per Recipe | Response Rate per Recipe | |
|---|---|---|
| Control | ||
| Test Group |
| Difference | Index |
|---|---|
Frequently Asked Questions
What Is a Sample Size for A/B Testing?
A sample size is the number of observations to include in a statistical sample. Choosing the right sample size for your A/B testing is important to ensure you gain accurate data insights from your testing and make sure pages aren’t underperforming due to small or unequal sample sizes.
Can You Run A/B Tests with Small Sample Sizes?
Yes, you can run A/B tests with small sample sizes, as long as you consider three things:
- Desired lift
- Tolerance for risk
- Current conversion rate.
These should be three areas you consider for each A/B test, especially when using small sample sizes. Learn more about these A/B testing considerations and how to make the most out of your tests.
DISCOVER OTHER HELPFUL RESOURCES
Statistical Significance Calculator
The go-to A/B Test calculator, if you know your KPI conversion rate and sample size, you have everything you need.
Z Score to Confidence Calculator
If you have your standardized z-score, this calculator will help you convert that to a confidence level for either one-sided or two-sided tests.
Chi Square Calculator
Determine if the applied recipe influences conversion by measuring the distance of the actual counts from those that would be expected if they were not related.
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