A/B Testing: A Complete Guide to Statistical Testing

<p><strong>A/B testing</strong>&nbsp;is one of the most popular controlled experiments used to optimize web marketing strategies. It allows decision makers to choose the best design for a website by looking at the analytics results obtained with two possible alternatives A and B.</p> <p>In this article we&rsquo;ll see how different statistical methods can be used to make A/B testing successful. I recommend you to also have a look at&nbsp;<a href="https://github.com/FrancescoCasalegno/AB_Testing/blob/main/AB_Testing.ipynb" rel="noopener ugc nofollow" target="_blank"><strong>this notebook&nbsp;</strong></a>where you can play with the examples discussed in this article.</p> <p><a href="https://towardsdatascience.com/a-b-testing-a-complete-guide-to-statistical-testing-e3f1db140499"><strong>Visit Now</strong></a></p>