A/B Test Calculator

Determine if your test results are statistically significant.

Experiment Data

Control Group (A)

Visitors

Conversions

Variant Group (B)

Visitors

Conversions

Confidence Level

Test Analysis

Result

Statistically Significant!

We are 95% confident that the difference is real.

Conversion Lift+25.00%Improvement

0.0496Z = 1.96

Overview

A/B testing uses statistical hypothesis testing to compare two versions of a variable (like a web page) to determine which one performs better.

💡

Pro Tips

Ensure your sample size is large enough before concluding the test.

Fun Facts

"Most A/B tests require thousands of visitors to reach statistical significance."
"A 95% confidence level means there is only a 5% chance the result happened by random chance."

Used with this

Similar tools that might be useful

Absolute vs Relative Uncertainty

Convert between Absolute (± unit) and Relative (%) uncertainty.

Adjusted R-Squared

Evaluate model fit while accounting for the number of predictors.

Bayes' Theorem

Update the probability of a hypothesis as more evidence or information becomes available.

A/B Test Calculator

Determine if your test results are statistically significant.

Experiment Data

Control Group (A)

Visitors

Conversions

Variant Group (B)

Visitors

Conversions

Confidence Level

Test Analysis

Result

Statistically Significant!

We are 95% confident that the difference is real.

Conversion Lift+25.00%Improvement

0.0496Z = 1.96

Overview

A/B testing uses statistical hypothesis testing to compare two versions of a variable (like a web page) to determine which one performs better.

💡

Pro Tips

Ensure your sample size is large enough before concluding the test.

Fun Facts

"Most A/B tests require thousands of visitors to reach statistical significance."
"A 95% confidence level means there is only a 5% chance the result happened by random chance."

Used with this

Similar tools that might be useful

Absolute vs Relative Uncertainty

Convert between Absolute (± unit) and Relative (%) uncertainty.

Adjusted R-Squared

Evaluate model fit while accounting for the number of predictors.

Bayes' Theorem

Update the probability of a hypothesis as more evidence or information becomes available.