Final answer:
The power of a hypothesis test is influenced by the alpha level. Increasing the alpha level from 0.01 to 0.05 increases the power of the hypothesis test.
Step-by-step explanation:
The power of a hypothesis test is influenced by several factors, and one of these factors is the alpha level. The alpha level, also known as the significance level, is the probability of rejecting the null hypothesis when it is actually true. Increasing the alpha level from 0.01 to 0.05 increases the probability of making a Type I error, which is the probability of rejecting the null hypothesis when it is true. In other words, increasing the alpha level increases the likelihood of finding evidence against the null hypothesis, which increases the power of the hypothesis test.