<h3>
its must be 2:9</h3><h3>James wins more often.</h3>
i hope that was helpful
~best wishes
Answer:
Correct Option: (A) 0.80.
Step-by-step explanation:
The type II error is an error made during statistical hypothesis testing.
The type II error is defined as the probability of failing to the reject the null hypothesis when the null hypothesis is false.
The type II error is related to the power of the test (<em>β</em>) as follows:
P (Type II Error) = 1 - β
Given:
P (Type II Error) = 0.20
Compute the power of the test as follows:
P (Type II Error) = 1 - β
β = 1 - P (Type II Error)
= 1 - 0.20
= 0.80
Thus, the power of the test is 0.80.
What are the choices for this