Answer:
It is not a Type I error neither a Type II error.
Step-by-step explanation:
Let
be the true mean match score. The null hypothesis is
and the alternative hypothesis is
(upper-tail alternative). When the test shows that the mean match score is more than 80 when actually is equal to 80 a Type I error is made. On the other hand, when the test shows that the mean match score is equal to 80 when actually is more than 80 a type II error is made. Therefore, when the test shows that the mean match score is more than 80 when the person does not actually have a fingerprint match, does not correspond to a Type I error neither to a Type II error.
Answer:
x=3
Step-by-step explanation:
Your answer is A. Y=5- 1/3x
The answer is the second answer choice, an = -13 + 5(n - 1)
Answer:
<em>A, D // other options are wrong.</em>