What is A/B testing and how do I interpret the results?

What is A/B testing and how do I interpret the results?

A/B testing is a method of comparing two versions of a webpage or product to see which one performs better. You interpret the results by analyzing metrics like conversion rates and statistical significance.

How do I determine if the results are statistically significant?

You can determine statistical significance using a p-value. A common threshold is 0.05; if your p-value is below this, the results are considered significant.

What sample size do I need for reliable results?

The required sample size depends on the expected effect size, the desired power of the test, and the significance level. There are online calculators that can help you estimate this.

Can you explain what a confidence interval is?

A confidence interval gives a range of values that likely contains the true effect size. For example, a 95% confidence interval means you can be 95% confident that the true value lies within that range.