The probability that the null hypothesis will be rejected when it is actually true is called the false positive rate and is determined by the significance level of the test (called alpha which is ...

For example, suppose 1000 hypothesis tests have been carried out by permutation test in a sample of 120 subjects with negative results. The 1000 test sample size multiplier at 80% power is 3.062.