New method for testing hypotheses leads to more accurate results.
Randomized -values are used to test composite null hypotheses for discrete data, addressing conservativeness in traditional -values. Two approaches, single-stage and two-stage randomization, are presented and shown to be less conservative under the null hypothesis. These randomized -values are valid under certain statistical models and show promising results in power function behavior as sample size increases.