A/B Test Calculator

What it does

The A/B Test Calculator is designed to assist users in calculating the necessary sample sizes for A/B testing, performing significance testing, and evaluating confidence intervals and Bayesian probabilities. This tool is beneficial for marketers, product managers, and data analysts who need to validate their hypotheses and make informed decisions based on data.

How to set up

• Visit the A/B Test Calculator website.
• Input your expected conversion rates for both A and B variants.
• Specify your desired significance level (e.g., 0.05).
• Enter the desired power of the test (e.g., 0.8).
• Click on 'Calculate' to obtain the required sample sizes and other results.

Key features

• Sample size calculation for A/B tests.
• Significance testing to determine the validity of results.
• Confidence interval estimation for test outcomes.
• Bayesian probability analysis for alternative insights.