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zalisa [80]
3 years ago
10

Can someone help me please thank you

Mathematics
1 answer:
nirvana33 [79]3 years ago
5 0
The answer is A in my opinion
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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.

6 0
3 years ago
Pregón de servicio<br>kjjj​
babunello [35]

Answer:

what

Step-by-step explanation:

5 0
3 years ago
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So I don't understand how V = lwh (h).... the topic is literal equations.
Kruka [31]

1) Solving in terms of h

V = lwh <em>Divide both sides by h</em>

<em />

\begin{gathered} V\text{ = lwh} \\ \frac{V}{h}=\frac{lwh}{h} \\ \frac{V}{h}\text{ =}lw\text{ Cross multiply} \\ hlw=V\text{ Divide both sides by lw} \\ \frac{hlw}{lw}=\text{ }\frac{V}{lw} \\ h\text{ = }\frac{V}{lw} \end{gathered}

So rearranging that equation we can find h, in terms of V, and l and w.

If we want to solve in terms of l, or w, we'll proceed similarly to isolate the variable we want on the left side, and the other terms on the right side.

6 0
1 year ago
Answer pleassse ???? I'll love you forever
enot [183]
As x increases, y increases. So this data has a positive association. The association looks to be strong, as the values all follow the trend pretty closely.

Answer=Strong Positive
3 0
3 years ago
Table 2
astra-53 [7]
The answer is 3rd one
3 0
3 years ago
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