The article compares normal and non-normal data using a statistical method called bootstrapping. Bootstrapping is a way to estimate things like variance by repeatedly sampling from observed data. The researchers used R to analyze data and found differences in how bootstrapping works for normal and non-normal data. They discussed the mean and median, and highlighted the advantages and disadvantages of using bootstrapping in statistics.