Answer:
Hello! answer: 45
Step-by-step explanation:
90 + 45 + 45 = 180 therefore z = 45 hope that helps!
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 = 486956.5217
Step-by-step explanation:
5.75% of x = 28000
Of means multiply
Change the percent to a decimal
.0575 * x = 28000
Divide by .0575 on each side
.0575/.0575 * x = 28000/.0575
x = 486956.5217
Answer:
the answer is a
Step-by-step explanation:
