The article explores how nonparametric goodness-of-fit tests can be used with large samples. The researchers developed an algorithm for applying these tests and estimated critical sample sizes using simulations. They found that classical tests like Kolmogorov and Anderson-Darling can be used effectively with large samples. The study describes the process of testing goodness-of-fit hypotheses with large sample sizes.