The significance level of a test is a predetermined threshold that is used to determine if the evidence from the sample provides enough support to reject the null hypothesis. It is typically denoted by the symbol α. The significance level is relevant in several ways: Type I error rate, Confidence level, Decision-makingm, Sample size determination
In summary, the significance level guides the researcher in interpreting the test results and making informed decisions regarding the null and alternative hypotheses.