Having trouble viewing the text? You can always read the original article here: Statistical Hypothesis Testing: A Simple Guide to Smarter A/B Tests A fundamental concept in A/B testing is statistical hypothesis testing. It involves creating a hypothesis about the relationship between two data sets and then comparing these data sets to determine if there is a statistically significant difference. It may sound complicated, but it explains how A/B testing works. Here’s a high-level look at how...
