r/statistics - A/B testing : test of proportions vs kernel density estimation

The densities are just for plotting. So when do we use bootstrap rather than a simple test of proportions? Well, bootstraps are very nice and work in a wide variety of settings and result in easy-to-compute summaries of the distributions. It's a good tool to have in your toolbox and it's cool to show it in a simple example.