The use of Permutation Tests on Large-Sized Datasets

The increasing availability of large-sized datasets produces a growing interest in permutation testing methods. They represent an effective solution for problems concerning the testing of multidimensional hypotheses, difficult to face in a parametric context. In this paper we propose an application of permutation test on a large amount of data in order to show its utility to analyze a big dataset array. The analysis was performed in order to assess the existence of significant differences, with reference to several variables, between two gastrointestinal illnesses.