The interval from -2.4 to 1.73 captures an area of 0.95 under the z curve. This implies that another large-sample 95% confidence interval for u has lower limit x - 2.47The new 95% interval has widthdiscussed in the text, so the new interval ---Select---The 95% interval discussed in the text has width0Oσlimit x + 1.73. Would you recommend using this 95% interval over the 95% interval x ± 1.96- discussed in the text? Explain. (Hint: Look at the width of each interval.)√nVnThe new interval is ---Select---Kand upper✓the interval

We have given that the interval is from -2.4 to 1.73 capture an area of 0.95 under z-curve And…

Answered: The interval from -2.4 to 1.73 captures…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A simple random sample of size n is drawn. The sample mean, x, is found to be 19.5, and the sample standard deviation, s, is found to be 4.6. Click the icon to view the table of areas under the t-distribution. Next Question (a) Construct a 95% confidence interval about u if the sample size, n, is 34. Lower bound: 17.89 ; Upper bound: 21.11 (Use ascending order. Round to two decimal places as needed.) (b) Construct a 95% confidence interval about u if the sample size, n, is 51. Lower bound: Upper bound: (Use ascending order. Round to two decimal places as needed.) Enter your answer in the edit fields and then click Check Answer 4 parts remaining Clear All Type here to search DELL F10 F9 F8 F7 F6 F5 F3 4) F4 K4 F2 & 8o 立

A simple random sample of size n is drawn. The sample mean, x, is found to be 18.9, and the sample standard deviation, s, is found to be 4.1. Click the icon to view the table of areas under the t-distribution. (a) Construct a 95% confidence interval about μ if the sample size, n, is 35. Lower bound: 17.49; Upper bound: 20.31 (Use ascending order. Round to two decimal places as needed.) (b) Construct a 95% confidence interval about μ if the sample size, n, is 51. Lower bound: 17.75; Upper bound: 20.05 (Use ascending order. Round to two decimal places as needed.) How does increasing the sample size affect the margin of error, E? O A. The margin of error increases. B. The margin of error decreases. C. The margin of error does not change. (c) Construct a 99% confidence interval about μ if the sample size, n, is 35. Lower bound:: Upper bound: (Use ascending order. Round to two decimal places as needed.)
A simple random sample of size n is drawn. The sample mean, x, is found to be 18.4, and the sample standard deviation, s, is found to be 4.8. Click the icon to view the table of areas under the t-distribution. (a) Construct a 95% confidence interval about µ if the sample size, n, is 35. μ Lower bound: 16.75; Upper bound: 20.05 (Use ascending order. Round to two decimal places as needed.) (b) Construct a 95% confidence interval about µ if the sample size, n, is 61. μ Lower bound:; Upper bound: (Use ascending order. Round to two decimal places as needed.)
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The standard deviation of test scores on a certain achievement test is 10.5 . A random sample of 100 scores on this test had a mean of 75.7 . Based on this sample, find a 90% confidence interval for the true mean of all scores. Then give its lower limit and upper limit. Carry your intermediate computations to at least three decimal places. Round your answers to one decimal place. upper limit ? lower limit?
In a large scale study of energy conservation in single family homes, 20 homes were randomly selected from homes built in a housing development in southern England. Ten of the houses, randomly selected from the 20 houses selected for the study, were constructed with standard levels of insulation (70 mm of roof insulation and 50 mm of insulation in the walls). The other 10 houses were constructed with extra insulation (120 mm of roof insulation and 100 mm of insulation in the walls). Each house was heated with a gas furnace and energy consumption was monitored for eight years. The data shown below give annual gas consumption in MWh for each of the 20 houses. Standard Insulation Extra Insulation 13.8 15.1 17.8 13.9 18.0 15.9 17.3 17.2 16.9 15.2 19.9 13.8 13.6 11.3 17.6 13.2 15.9 18.8 12.3 14.0 Sample means Sample Standard Deviation 16.31 14.84 2.38 2.12
A simple random sample of size n is drawn. The sample mean, x, is found to be 17.7, and the sample standard deviation, s, is found to be 4.7. Click the icon to view the table of areas under the t-distribution. (a) Construct a 95% confidence interval about u if the sample size, n, is 34. Lower bound: 16.06 ; Upper bound: 19.34 (Use ascending order. Round to two decimal places as needed.) (b) Construct a 95% confidence interval about u if the sample size, n, is 51. Lower bound: Upper bound: (Use ascending order. Round to two decimal places as needed.) Enter your answer in the edit fields and then click Check Answer. Clear All parts remaining
Construct a 95% confidence interval to estimate the population mean using the data below. x=38 s=11 n=39 With 95% confidence, when n=39 the population mean is between a lower limit of and an upper limit of (Round to two decimal places as needed.)
T17
A random sample of students taking STAT 201 this semester was pulled. Among other things, the survey asked the number of hours the student spent studying for the final exam. StatCrunch was used to create the output for a 95% confidence interval estimate for the population mean number of hours students spend studying for the final exam. 95% confidence interval results: Variable Sample Mean Std. Err. DF L. Limit U. Limit # hours 6.05 0.31 64 5.42 6.67 Give the value of the point estimate used to calculate the confidence interval. (Do not round your answer)
(c) Construct a 99% confidence interval about μ if the sample size, n, is 35. Lower bound: Upper bound:
A simple random sample of size n is drawn. The sample mean, x, is found to be 18.2, and the sample standard deviation, s, is found to be 4.9. LOADING... Click the icon to view the table of areas under the t-distribution. (a) Construct a 95% confidence interval about μ if the sample size, n, is 34. Lower bound: 16.4916.49; Upper bound: 19.9119.91 (Use ascending order. Round to two decimal places as needed.) (b) Construct a 95% confidence interval about μ if the sample size, n, is 61. Lower bound: 16.9516.95; Upper bound: 19.4619.46 (Use ascending order. Round to two decimal places as needed.) How does increasing the sample size affect the margin of error, E? A. The margin of error does not change. B. The margin of error decreases. Your answer is correct. C. The margin of error increases. (c) Construct a 99% confidence interval about μ if the sample size, n, is 34. Lower bound: 15.9015.90; Upper bound:…

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