The bootstrap method and traditional statistics use very different approaches to estimate sampling distributions. Bootstrap hypothesis testing is very popular as it does not assume any underlying distribution of the data (unlike the traditional approach). As there is currently no predefined function in *R* that allows to perform bootstrap hypothesis testing on quantile values we are going to do it by hand.