Answer:
a) Alpha
Explanation:
The correct option is alpha because alpha known as type I error is the probability of reject the null hypothesis when null hypothesis is true. If we take alpha 5%, it means that we are taking 5 out of 100 chance of rejecting the null hypothesis when it is true.
So, statistician controls alpha by establishing the risk of rejecting a null hypothesis when its true.