Answer:
0.15 is the probability of a Type II error for this test.
Step-by-step explanation:
We are given the following information in the question:
Alpha, α = 0.05 = 5%
P‑value = 4% = 0.04
Power of test = 85% = 0.85
We have to find the probability of a Type II error for this test.
The relation between power of a test and type II error is given as:
[tex]\text{Power = 1 - Type II error}[/tex]
Putting values, we get,
[tex]0.85 = 1-P(\text{Type II error})\\P(\text{Type II error}) = 1-0.85 = 0.15[/tex]
0.15 is the probability of a Type II error for this test.