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:
31.2
Step-by-step explanation:
156 * .2 = 31.2
Answer:
I can't even see anything can you reupload your answer, please?
Step-by-step explanation:
Answer: Probably A
Step-by-step explanation: You need to use a ruler for this, because without one its impossible to get it exact
Using the ruler though, you'd measure each side of the wall and either use a ratio of 0.5in:4ft or multiply every 0.5in by 4ft.