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Lubov Fominskaja [6]
3 years ago
8

What is m? 128° 173° 192° 256°

Mathematics
2 answers:
arsen [322]3 years ago
8 0

the question is

What is the measure of the arc PO?

we know that

The measure of the external angle is the semidifference of the arcs that it covers.

so

m∠MNO=\frac{1}{2} *(arcPO-arcMO)

45=\frac{1}{2} *(arcPO-83)\\ 90+83=arcPO\\ arcPO=173\ degrees

therefore

the answer is

the measure of the arc PO is equal to 173\ degrees

Lesechka [4]3 years ago
3 0
The answer is 173 degrees
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Answer:

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Step-by-step explanation:

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What we have to do is to plug in -4 for x and 4 for y.

y=2x+10\\(4)=2(-4)+10\\4=-8+10\\4\ne2

The point is not on this line so this cannot be it.

<em><u>Choice B:</u></em>

We pug what we know again.

y=\frac{1}{3}x+1\\(4)=\frac{1}{3}(-4)+1\\(4)=-\frac{4}{3}+1\\4\ne-\frac{1}{3}

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<em><u>Choice C:</u></em>

We pug in what we know again.

y=3x-9\\(4)=3(-4)-9\\(4)=-12-9\\4\ne-21

The point is not on this line so it can't be it.

The next one has to be it, but we'll check it just in case.

<em><u>Choice D:</u></em>

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storchak [24]

Answer:

The null hypothesis is H_o: \mu = 4.

The alternate hypothesis is H_a: \mu \neq 4

The pvalue of the test is 0.0182 < 0.05, which means that there is sufficient evidence to show that the manufacturer needs to recalibrate the machines.

Step-by-step explanation:

A manufacturer must test that his bolts are 4.00 cm long when they come off the assembly line.

This means that the null hypothesis is that they are 4.00 cm long, that is:

H_o: \mu = 4

At the alternate hypothesis we test if it is different. So

H_a: \mu \neq 4

The test statistic is:

z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

In which X is the sample mean, \mu is the value tested at the null hypothesis, \sigma is the standard deviation and n is the size of the sample.

4 is tested at the null hypothesis:

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After sampling 196 randomly selected bolts off the assembly line, he calculates the sample mean to be 4.14 cm.

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He knows that the population standard deviation is 0.83 cm.

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Value of the test statistic:

z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

z = \frac{4.14 - 4}{\frac{0.83}{\sqrt{196}}}

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Looking at the z-table, z = -2.36 has a pvalue of 0.0091

2*0.0091 = 0.0182

The pvalue of the test is 0.0182 < 0.05, which means that there is sufficient evidence to show that the manufacturer needs to recalibrate the machines.

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