Which of the following statements about Type I and Type II errors is correct?

a$)$ Type I error is the probability of rejecting the null hypothesis when it is false.

b$)$ Type II error is the probability of accepting the null hypothesis when it is false.

c$)$ Type I error is also known as the level of significance.

d$)$ Type II error is the probability of rejecting the null hypothesis when it is true.