The Bootstrap Verification of Hypotheses about the Expected Value of Asymmetric Distributed Population

A proposal of using the bootstrap test to verify hypotheses about the expected value of asymmetric population is presented. The bootstrap test is the nonparametric one. It can be used when we have a small size of sample. In the paper, the results of simulation studies of the properties of this test are presented, in particular the size of a test. For large sample’s sizes, the size of the bootstrap test is compared with the size of classical test of significance