If the null hypothesis (H0) is rejected in a hypothesis test with the significance level α then it is said that statistical hypothesis test results are statistically significant at the α level. Determination of the significance level is specifying the rejection probability of the null hypothesis (H0) when it is actually true. The significance level α of a hypothesis test is determined by the researcher before the data collection. Often the level of significance α value of a hypothesis test is selected as 1%, 5% or 10%. When you choose the significance level, on practice, it means that if you repeatedly create many samples from the population in question, 1% of the time your results will not be correct.