A/B Test Calculator
Calculates the statistical significance and other key metrics for A/B test results.
A/B Test Calculator gives you a faster way to work through practical calculation scenarios without rebuilding the same calculation from scratch every time. Start with Control Group Impressions, Control Group Conversions, Test Group Impressions, and Test Group Conversions and use the live outputs to estimate Test Group Conversion Rate, Control Group Conversion Rate, and Conversion Rate Difference in one pass. This page is built to help you compare scenarios quickly, validate rough assumptions, and move into a related calculator when you need a second angle on the same problem.
Use The Calculator In A Few Steps
Work through the inputs deliberately, then compare outputs instead of relying on a single scenario.
Scenario Checks
Use these examples to verify the behavior of the calculator before you run your own values.
What Users Usually Need Next
Keep the calculator open while you skim these answers so you can test the scenario that matters.
Related Calculators
These links are chosen to deepen the session and answer the next likely question without sending the user back to search.
T-Test Calculator
Performs a t-test (one-sample, two-sample, or paired) to compare means and determine statistical significance.
Inverse Normal Distribution Calculator
Finds the Z-score corresponding to a given cumulative probability (percentile) on a normal distribution.
Standard Error Calculator
Calculates the standard error, which measures the accuracy with which a sample represents a population. It's commonly used for the standard error of the mean (SEM) and the standard error of the proportion.
Chi-Square Calculator
Calculates the Chi-Square statistic and p-value for goodness-of-fit or test of independence. It requires observed and expected frequencies or values.