The hypothesis of randomness is fundamental in statistical machine learning and many areas nonparametric statistics; it says that the observations are assumed to be independent coming from same unknown probability distribution. This close, certain respects, exchangeability, which postulates distribution invariant with respect their permutations. paper reviews known methods testing two hypothese...