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natali 33 [55]
4 years ago
15

3 and -3 are ________.

Mathematics
1 answer:
tia_tia [17]4 years ago
5 0

Answer:

Opposites

A positive and a negative of the same number are named opposites.

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In a simple random sample of 1500 young Americans 1305 had earned a high school diploma.
inn [45]

Answer:

a) The standard error for this estimate of the percentage of all young Americans who earned a high school diploma is 0.87%.

b) The margin of error, using a 95% confidence level, for estimating the percentage of all young Americans who earned a high school diploma is of 1.71%.

c) The 95% confidence interval for the percentage of all young Americans who earned a high school diploma is (85.29%, 88.71%).

d) The lower bound of the confidence interval is above 80%, which means that the confidence interval supports the claim that the percentage of young Americans who cam high school diplomas has increased.

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of \pi, and a confidence level of 1-\alpha, we have the following confidence interval of proportions.

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which

z is the z-score that has a p-value of 1 - \frac{\alpha}{2}.

Standard error:

The standard error is:

s = \sqrt{\frac{\pi(1-\pi)}{n}}

Margin of error:

The margin of error is:

M = z\sqrt{\frac{\pi(1-\pi)}{n}} = zs

The confidence interval is:

Sample proportion plus/minus margin of error. So

(\pi - M, \pi + M)

In a simple random sample of 1500 young Americans 1305 had earned a high school diploma.

This means that n = 1500, \pi = \frac{1305}{1500} = 0.87

a. What is the standard error for this estimate of the percentage of all young Americans who earned a high school diploma?

s = \sqrt{\frac{\pi(1-\pi)}{n}} = \sqrt{\frac{0.87*0.13}{1500}} = 0.0087

0.0087*100% = 0.87%.

The standard error for this estimate of the percentage of all young Americans who earned a high school diploma is 0.87%.

b. Find the margin of error, using a 95% confidence level, for estimating the percentage of all young Americans who earned a high school diploma.

95% confidence level

So \alpha = 0.05, z is the value of Z that has a p-value of 1 - \frac{0.05}{2} = 0.975, so Z = 1.96.

Then

M = zs = 1.96*0.0087 = 0.0171

0.0171*100% = 1.71%

The margin of error, using a 95% confidence level, for estimating the percentage of all young Americans who earned a high school diploma is of 1.71%.

c. Report the 95% confidence interval for the percentage of all young Americans who earned a high school diploma.

87% - 1.71% = 85.29%

87% + 1.71% = 88.71%.

The 95% confidence interval for the percentage of all young Americans who earned a high school diploma is (85.29%, 88.71%).

d. Suppose that in the past, 80% of all young Americans earned high school diplomas. Does the confidence interval you found in part c support or refute the claim that the percentage of young Americans who cam high school diplomas has increased? Explain.

The lower bound of the confidence interval is above 80%, which means that the confidence interval supports the claim that the percentage of young Americans who cam high school diplomas has increased.

4 0
3 years ago
Round 771 to the nearest hundred
elena-14-01-66 [18.8K]

Answer:

800

Step-by-step explanation:

700________________750___________771________800

771 is over 750 so it would be rounded to 800

3 0
3 years ago
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