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
, and a confidence level of
, we have the following confidence interval of proportions.
![\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}](https://tex.z-dn.net/?f=%5Cpi%20%5Cpm%20z%5Csqrt%7B%5Cfrac%7B%5Cpi%281-%5Cpi%29%7D%7Bn%7D%7D)
In which
z is the z-score that has a p-value of
.
Standard error:
The standard error is:
![s = \sqrt{\frac{\pi(1-\pi)}{n}}](https://tex.z-dn.net/?f=s%20%3D%20%5Csqrt%7B%5Cfrac%7B%5Cpi%281-%5Cpi%29%7D%7Bn%7D%7D)
Margin of error:
The margin of error is:
![M = z\sqrt{\frac{\pi(1-\pi)}{n}} = zs](https://tex.z-dn.net/?f=M%20%3D%20z%5Csqrt%7B%5Cfrac%7B%5Cpi%281-%5Cpi%29%7D%7Bn%7D%7D%20%3D%20zs)
The confidence interval is:
Sample proportion plus/minus margin of error. So
![(\pi - M, \pi + M)](https://tex.z-dn.net/?f=%28%5Cpi%20-%20M%2C%20%5Cpi%20%2B%20M%29)
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](https://tex.z-dn.net/?f=n%20%3D%201500%2C%20%5Cpi%20%3D%20%5Cfrac%7B1305%7D%7B1500%7D%20%3D%200.87)
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](https://tex.z-dn.net/?f=s%20%3D%20%5Csqrt%7B%5Cfrac%7B%5Cpi%281-%5Cpi%29%7D%7Bn%7D%7D%20%3D%20%5Csqrt%7B%5Cfrac%7B0.87%2A0.13%7D%7B1500%7D%7D%20%3D%200.0087)
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
, z is the value of Z that has a p-value of
, so
.
Then
![M = zs = 1.96*0.0087 = 0.0171](https://tex.z-dn.net/?f=M%20%3D%20zs%20%3D%201.96%2A0.0087%20%3D%200.0171)
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.