Sample size calculator

Support for non-binomial metrics

On top of binomial metrics such as conversion rates, the calculator supports sample size calculation for tests with a primary KPI which is a non-binomial (continuous) metrics such as average revenue per user, average sessions per user, average session duration, average order value, etc. out of the box.

An easy-to-use interface allows you to upload a file with your non-binomial data and all relevant statistics are calculated from it.

Properly plan A/B/N tests

Tests with more than one variant versus a control need to be analyzed with special methods that account for the multiple comparisons problem that otherwise arises. The appropriate p-value and confidence interval correction is the Dunnett's correction which means that a sample size calculation should take these corrections into account.

This tool does just that so your A/B/N tests have the right sample size requirement and therefore duration to hit your desired power level.

Plan non-inferiority tests

If you have planned a test with a non-inferiority hypothesis it needs to be analyzed as such. This significance calculator has native support for non-inferiority tests.

Simply enter the non-inferiority margin used when planning the test and the tool will take care of the rest.

Sample size for lift estimation

Calculating p-values and confidence intervals for percent change (% lift) requires that this is taken into account when considering the required sample size. This tool uses a proprietary formula to make these calculations.

Excellent documentation

This tool is documented in detail, with information about the statistical assumptions being displayed below each computation. Inline help information assists in using it correctly and makes the statistical jargon accessible by presenting with terms familiar to professionals engaged in online A/B testing.