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A/B Test Calculator

Determine if your two-tailed A/B test results are statistically significant.


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Hypothesis: Two-sided

What is an A/B test?

A/B testing, also known as split testing, is an experimentation process where visitors or customers are randomly assigned to two variants. Businesses run A/B tests to learn about how changes to the customer experience affect certain metrics. A/B tests remove guesswork and allow businesses to make data-driven decisions.

A/B tests are run with a hypothesis. Hypothesis testing is the use of statistics to determine the probability that a given hypothesis is true. Businesses assume a specific outcome and then use A/B testing to confirm or reject the assumption.

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