Answer:
Step-by-step explanation:
The rejection level (or significance level) is the value set for a hypothesis test that determines the likelihood of rejecting a null hypothesis. It is also referred to as the alpha level and is typically set at 0.05 (5%). This means that there is a 5% chance that the null hypothesis is rejected even though it is true. This value is determined by the researcher and should be chosen before the data is collected and analyzed. The lower the value, the more stringent the test and the more likely it is to reject the null hypothesis when it is true. The higher the value, the less stringent the test and the more likely it is to not reject the null hypothesis even when it is false.