The Difference Between Setting Alpha Equal to 0

The difference between setting alpha equal to 0.05 and alpha equal to 0.01 in hypothesis testing is

A) With alpha equal to 0.05, we are more willing to risk a type I error.
B) With alpha equal to 0.05, we are more willing to risk a type II error.
C) Alpha equal to 0.05 is a more "conservative" test of the null hypothesis.
D) With alpha equal to 0.05, we are less willing to risk a type I error.