March 2018
Beginner
256 pages
3h 56m
English
As we learned in chapter 5, running an experiment is a straightforward way to collect new data about a specific question or problem. One of the most common methods of experimentation, particularly in online settings, is A/B testing.
To better understand what A/B testing is, where it originated, and how to use it, I spoke with Kaiser Fung, who founded the applied analytics program at Columbia University and is author of Junk Charts, a blog devoted to the critical examination of data and graphics in the mass media. His latest book is Numbersense: How to Use Big Data to Your Advantage.
A/B testing is a way to compare two versions of something to figure out which performs ...