an approach to formulating two competing hypotheses (the
null hypothesis and an
alternative hypothesis) and identifying appropriate statistical procedures for choosing between them. It focuses on identifying
critical regions, minimizing errors in estimation, and obtaining an appropriate balance in the probability of committing
Type I errors and
Type II errors. [Jerzy Neyman (1894–1981), Russian-born U.S. statistician; Egon S. Pearson (1895–1980), British statistician]