# Demystifying

**A/B Testing Statistics**

## Understand Bayesian statistics, the multi-armed bandit problem and other A/B testing concepts

Effective A/B testing relies on a few things: good test ideas, sufficient traffic, a clear roadmap, a reliable testing tool, etc. One of the integral aspects of A/B testing that often gets overlooked is the **statistical method that powers the testing platform**.

In our view, this is a shame, since statistical analysis is at the heart of an A/B (or multivariate, split page, multi-page...) testing strategy.

That's why we've written the ebook, **Demystifying A/B Testing Statistics**.

# Demystify your **A/B Testing Statistics**

### Sneak Peek

We'll dive into **how statistical methods are used to drive A/B testing platforms**, the difference between common approaches, and more.

You'll learn:

### What frequentist statistical methods are

### What Bayesian statistics has to offer A/B testing

### How to understand different statistical methods with side-by-side comparisons

### How to limit false positives in A/B testing

### How to respond to the multi-armed bandit problem

### How to read A/B test results with confidence