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madam [21]
2 years ago
5

Quadrilateral OPQR is inscribed inside a circle as shown below. Write a proof showing that angle O and Q are supplementary

Mathematics
1 answer:
Alex Ar [27]2 years ago
7 0

In the circle, we can see that angle O and angle Q are both inscribed angles which intercepts an arc. Angle O intercepts arc RQP while angle Q intercepts arc ROP. The measure of each angle is measured to be one half of its intercepted arc, that is: 

m ∠ O = m (arc PQR/2)
m ∠ Q = m (arc POR/2)

 

However we can also see that arcs RQP and ROP together make up the entire circle which has 360 degrees.


arc PQR + arc POR = 360°

 

therefore dividing both sides by 2:
arc PQR/2 + arc POR/2 = 180°

Then:
m ∠ O + m ∠ Q =  m (arc PQR/2) + m (arc POR/2) = 180°

 

∠ O + ∠ Q = 18<span>0° are supplementary</span>

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the best deal, is buying from store B, where the cost is the lowest: 2.5a.

Answer: store B




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The National Center for Education Statistics would like to test the hypothesis that the proportion of Bachelor's degrees that we
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This question involves the hypothesis test for the proportion. First we build the hypothesis, then find the test statistic, and according to the test statistic, we get the following answer:

The conclusion for this hypothesis test would be that because the absolute value of the test statistic is less than the critical value of 1.645, we do not reject the null hypothesis that the proportion of Bachelor's degrees that were earned by women equals 0.60.

The National Center for Education Statistics would like to test the hypothesis that the proportion of Bachelor's degrees that were earned by women equals 0.60

This means that at the null hypothesis, it is tested if the proportion is of 0.6, that is:

H_0: p = 0.6

At the alternative hypothesis, we test if the proportion is different of 0.6, that is:

H_1: p \neq 0.6

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Two-tailed test(test if the proportion is different of a value), so we exclude the top and bottom 0.1/2 = 0.05, meaning that looking at the z-table, we find a critical value of |Z_c| = 1.645, and the decision rule is:

Accept the null hypothesis: |Z| < 1.645

Reject the null hypothesis: |Z| > 1.645

Test statistic:

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.

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This means that \mu = 0.6, \sigma = 0.4

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This means that:

n = 140, \pi = \frac{75}{140} = 0.5357

Value of the test statistic:

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Decision:

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For a similar example, you can check brainly.com/question/24166849

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