In a statistical hypothesis test, how is the rejection region impacted when α, the level of significance, is increased?

Question

a.The answer depends on the value of β

b.The size of the rejection region decreases

c.The size of the rejection region increases

d.The rejection region is unaltered

e.None of the above

Did I do this right. I would say the answer would be C. Since the higher the significance level, the higher the power of the test. When you increase the significance level, you reduce the region on acceptance. Therefore giving you a more likely chance to reject the null hypothesis.

Answer 1

I agree with c.