2 years ago

Choose the more precise measurement. A) 32.5 lb B) 28.35 lb *

Mathematics

1 answer:

s2008m [1.1K]2 years ago

8 0

Answer:

B is the answer

Step-by-step explanation:

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Criminal investigators use biometric matching for fingerprint recognition, facial recognition, and iris recognition. When matchi

Art [367]

Answer:

It is not a Type I error neither a Type II error.

Step-by-step explanation:

Let $\mu$ be the true mean match score. The null hypothesis is $H_{0}: \mu = 80$ and the alternative hypothesis is $H_{1}: \mu > 80$ (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.