Final answer:
The probability of a false alarm when the null hypothesis is false is the probability of a Type II error, represented by β (beta). The correct answer is b. β
Step-by-step explanation:
The probability of getting a false alarm, given that the null hypothesis is false, is actually asking for the probability of making a Type II error, which is represented by β (beta). Therefore, the correct answer is b. β.
In statistical hypothesis testing, a Type I error (α) occurs when the null hypothesis is rejected even though it is true, whereas a Type II error (β) occurs when the null hypothesis is not rejected even though it is false. The power of a test is defined as 1 - β, which is the probability of correctly rejecting a false null hypothesis.