Suppose that the population of the number of hours slept by all college students the night before finals is approximately normally distributed. A report claimed that the mean of this population is 6.86 hours. As a student wellness advocate, you want to test this claim, so you select a random sample of 14 college students and record the number of hours each slept the night before finals. Follow the steps below to construct a 90% confidence interval for the population mean of all the numbers of hours slept by college students the night before finals. Then state whether the confidence interval you construct contradicts the report's claim. (If necessary, consult a list of formulas.) (a) Click on "Take Sample" to see the results for your random sample. Take Sample Sample size: 0 Point estimate: 0 Sample standard deviation: 0 Critical value: 0 Number of students Compute 14 Enter the values of the sample size, the point estimate of the mean, the sample standard deviation, and the critical value you need for your 90% confidence interval. (Choose the correct critical value from the table of critical values provided.) When you are done, select "Compute". Sample mean 6.517 Standard error: Margin of error: Sample standard deviation 90% confidence interval: 1.793 Ś Critical values 0.005=3.012 ¹0.010 2.650 ¹0.025 2.160 10.050 1.771 ¹0.100 1.350

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Suppose that the population of the number of hours slept by all college students the night before finals is approximately normally distributed. A report claimed
that the mean of this population is 6.86 hours. As a student wellness advocate, you want to test this claim, so you select a random sample of 14 college
students and record the number of hours each slept the night before finals.
Follow the steps below to construct a 90% confidence interval for the population mean of all the numbers of hours slept by college students the night before.
finals. Then state whether the confidence interval you construct contradicts the report's claim. (If necessary, consult a list of formulas.)
(a) Click on "Take Sample" to see the results for your random sample.
Take Sample
Sample size:
0
Point estimate:
0
Sample standard deviation:
0
Critical value:
0
Number of students
Compute
14
Enter the values of the sample size, the point estimate of the mean, the sample standard deviation, and the critical value you need for your 90%
confidence interval. (Choose the correct critical value from the table of critical values provided.) When you are done, select "Compute".
Sample mean
6.517
Standard error:
Margin of error:
Sample standard
deviation
90% confidence interval:
1.793
Ś
Critical values
¹0.005=3.012
0.010 2.650
¹0.025 2.160
10.050 1.771
0.100 1.350
Transcribed Image Text:Suppose that the population of the number of hours slept by all college students the night before finals is approximately normally distributed. A report claimed that the mean of this population is 6.86 hours. As a student wellness advocate, you want to test this claim, so you select a random sample of 14 college students and record the number of hours each slept the night before finals. Follow the steps below to construct a 90% confidence interval for the population mean of all the numbers of hours slept by college students the night before. finals. Then state whether the confidence interval you construct contradicts the report's claim. (If necessary, consult a list of formulas.) (a) Click on "Take Sample" to see the results for your random sample. Take Sample Sample size: 0 Point estimate: 0 Sample standard deviation: 0 Critical value: 0 Number of students Compute 14 Enter the values of the sample size, the point estimate of the mean, the sample standard deviation, and the critical value you need for your 90% confidence interval. (Choose the correct critical value from the table of critical values provided.) When you are done, select "Compute". Sample mean 6.517 Standard error: Margin of error: Sample standard deviation 90% confidence interval: 1.793 Ś Critical values ¹0.005=3.012 0.010 2.650 ¹0.025 2.160 10.050 1.771 0.100 1.350
(b) Based on your sample, graph the 90% confidence interval for the population mean of all the numbers of hours slept by college students the night
before finals.
(c)
• Enter the values for the lower and upper limits on the graph to show your confidence interval.
For the point (), enter the claim 6.86 from the report.
0.000
0.000
2.000
90% confidence interval:
4.000
5.000
6.000
8.000
Does the 90% confidence interval you constructed contradict the claim made in the report?
Choose the best answer from the choices below.
X
10.000
10.000
No, the confidence interval does not contradict the claim. The mean of 6.86 hours from the report is inside the
90% confidence interval.
O No, the confidence interval does not contradict the claim. The mean of 6.86 hours from the report is outside the
90% confidence interval.
Yes, the confidence interval contradicts the claim. The mean of 6.86 hours from the report is inside the 90%
confidence interval.
Yes, the confidence interval contradicts the claim. The mean of 6.86 hours from the report is outside the 90%
confidence interval.
Transcribed Image Text:(b) Based on your sample, graph the 90% confidence interval for the population mean of all the numbers of hours slept by college students the night before finals. (c) • Enter the values for the lower and upper limits on the graph to show your confidence interval. For the point (), enter the claim 6.86 from the report. 0.000 0.000 2.000 90% confidence interval: 4.000 5.000 6.000 8.000 Does the 90% confidence interval you constructed contradict the claim made in the report? Choose the best answer from the choices below. X 10.000 10.000 No, the confidence interval does not contradict the claim. The mean of 6.86 hours from the report is inside the 90% confidence interval. O No, the confidence interval does not contradict the claim. The mean of 6.86 hours from the report is outside the 90% confidence interval. Yes, the confidence interval contradicts the claim. The mean of 6.86 hours from the report is inside the 90% confidence interval. Yes, the confidence interval contradicts the claim. The mean of 6.86 hours from the report is outside the 90% confidence interval.
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