## Introduction

Let’s take a quick look at a very important and common experimental problem: checking if the difference in success rates of two Binomial experiments is statistically significant. This can arise in A/B testing situations such as online advertising, sales, and manufacturing.

We already share a free video course on a Bayesian treatment of planning and evaluating A/B tests (including a free Shiny application). Let’s now take a look at the should be simple task of simply building a summary statistic that includes a classic frequentist significance.

Continue reading Quick Significance Calculations for A/B Tests in R