optimizely ab testing calculator

Our A/B test sample size calculator is powered by the formula behind our new Stats Engine, which uses a two-tailed sequential likelihood ratio test with false ...

26 apr. 2023 — Here are two sample size formulas to help you translate sample size into the estimated number of days you'll require to run an experiment.

A/B testing is a method of comparing two versions of a webpage or app against each other to determine which one performs better. Learn all about it here!

Want to run an online A/B test? Calculate its significance with our Bayesian-powered calculator built for experimentation, CRO, and UX Optimization.

This topic describes the A/B testing feature which lets you test two different versions of a page and see which one gets the most conversions.

The A/B Test Calculator helps you plan and analyze experiments with precision. It calculates sample size, test duration, and statistical significance.

Visual, interactive sample size calculator ideal for planning online experiments and A/B tests.

Calculate your confidence interval, how long your test should run, and the sample size needed to maintain accuracy, with our ab test calculator!

5 feb. 2025 — Statistical significance (known as stat sig) measures how unusual your A/B test results would be if there were no difference between your variation and ...