In hypothesis testing, the probability of rejecting the null hypothesis $H_0$ when it is actually true is known as:
(A)
Type I error probability ($\alpha$)
(B)
Type II error probability ($\beta$)
(C)
Statistical Power ($1 - \beta$)
(D)
Confidence level ($1 - \alpha$)