Question

In: Statistics and Probability

A simple random sample of size n is drawn from a population that is normally distributed....

A simple random sample of size n is drawn from a population that is normally distributed. The sample​ mean, x​, is found to be 111​, and the sample standard​ deviation, s, is found to be 10.

​(a) Construct an 80​% confidence interval about μ if the sample​ size, n, is 14.

​(b) Construct an 80​% confidence interval about μ if the sample​ size, n, is 29.

​(c) Construct a 95​% confidence interval about μ if the sample​ size, n, is 14.

​(d) Could we have computed the confidence intervals in parts​ (a)-(c) if the population had not been normally​ distributed?

_______________________________________________________________

​(a) Construct an 80​% confidence interval about μ if the sample​ size, n, is 14.

Lower​ bound:__

Upper​ bound: __

​(Use ascending order. Round to one decimal place as​ needed.)

​(b) Construct an 80​% confidence interval about μ if the sample​ size, n, is 29.

Lower​ bound:_

Upper​ bound:_

​(Use ascending order. Round to one decimal place as​ needed.)

How does increasing the sample size affect the margin of​ error, E?

A.) As the sample size increases​, the margin of error increases.

B.As the sample size increases​, the margin of error decreases.

C.As the sample size increases​, the margin of error stays the same

​(c) Construct a 95​% confidence interval about μ if the sample​ size, n, is 14.

Lower​ bound:__

Upper​ bound: __

​(Use ascending order. Round to one decimal place as​ needed.)

Compare the results to those obtained in part​ (a). How does increasing the level of confidence affect the size of the margin of​ error, E?

A. As the level of confidence increases​, the size of the interval decreases.

B.As the level of confidence increases​, the size of the interval stays the same.

C.As the level of confidence increases​, the size of the interval increases.

Compare the results to those obtained in part​ (a). How does increasing the level of confidence affect the size of the margin of​ error, E?

A.As the level of confidence increases​, the size of the interval decreases.

B.As the level of confidence increases​, the size of the interval stays the same.

C.As the level of confidence increases​, the size of the interval increases.

​(d) Could we have computed the confidence intervals in parts​ (a)-(c) if the population had not been normally​ distributed?

A. ​No, the population does not need to be normally distributed.

B. ​Yes, the population needs to be normally distributed.

C. ​No, the population needs to be normally distributed.

D. ​Yes, the population does not need to be normally distributed.

Solutions

Expert Solution

Solution:-

(a) 80​% confidence interval about μ if the sample​ size, n, is 14.

lower bound : 107.4

upper bound : 114.6

(b) 80​% confidence interval about μ if the sample​ size, n, is 29


lower bound : 108.6

upper bound : 113.4


=> option B.

(c) 95​% confidence interval about μ if the sample​size, n, is 14

Lower bound : 105.2

upper bound : 116.7


=> option C. As the level of confidence increases​, the size of the interval increases.

=> option B.


Related Solutions

A simple random sample of size n is drawn from a population that is normally distributed....
A simple random sample of size n is drawn from a population that is normally distributed. The sample​ mean, x overbar​, is found to be 115​, and the sample standard​ deviation, s, is found to be 10. ​(a) Construct an 80​% confidence interval about mu if the sample​ size, n, is 12. ​(b) Construct an 80​% confidence interval about mu if the sample​ size, n, is 27. ​(c) Construct a 98​% confidence interval about mu if the sample​ size, n,...
A simple random sample of size n is drawn from a population that is normally distributed....
A simple random sample of size n is drawn from a population that is normally distributed. The sample​ mean, x overbar is found to be 112, and the sample standard​ deviation, s, is found to be 10. ​(a) Construct a 95% confidence interval about μ if the sample​ size, n, is 26. ​(b) Construct a 95​% confidence interval about μ if the sample​ size, n, is 17. ​(c) Construct an 80​% confidence interval about μ if the sample​ size, n,...
A simple random sample of size n is drawn from a population that is normally distributed....
A simple random sample of size n is drawn from a population that is normally distributed. The sample​ mean, x overbarx​, is found to be 106106​, and the sample standard​ deviation, s, is found to be 1010. ​(a) Construct aa 9595​% confidence interval about muμ if the sample​ size, n, is 1111. ​(b) Construct aa 9595​% confidence interval about muμ if the sample​ size, n, is 2929. ​(c) Construct aa 9999​% confidence interval about muμ if the sample​ size, n,...
A simple random sample of size n is drawn from a population that is normally distributed....
A simple random sample of size n is drawn from a population that is normally distributed. The sample​ mean, x overbarx​, is found to be 110​, and the sample standard​ deviation, s, is found to be 10. ​(b) Construct a 95​% confidence interval about μ if the sample​ size, n, is 13. ​(c) Construct a 70​% confidence interval about μ if the sample​ size, n, is 25. ​(d) Could we have computed the confidence intervals in parts​ (a)-(c) if the...
A simple random sample of size n is drawn from a population that is normally distributed....
A simple random sample of size n is drawn from a population that is normally distributed. The sample​ mean,x overbarx​, is found to be 115​,and the sample standard​ deviation, s, is found to be 10. ​(a) Construct a 95​% confidence interval about μ if the sample​ size, n, is 23. ​(b) Construct a 95​% confidence interval about μ if the sample​ size, n, is 18. ​(c) Construct a 70% confidence interval about μ if the sample​ size, n, is 23....
A simple random sample of size n is drawn from a population that is normally distributed....
A simple random sample of size n is drawn from a population that is normally distributed. The sample​ mean, x overbar ​, is found to be 106 ​, and the sample standard​ deviation, s, is found to be 10 . ​(a) Construct an 95 ​% confidence interval about mu if the sample​ size, n, is 18 . The Lower Bound and Upper Bound ​(b) Construct an 95 ​% confidence interval about mu if the sample​ size, n, is 25 ....
A simple random sample of size n is drawn from a population that is normally distributed....
A simple random sample of size n is drawn from a population that is normally distributed. The sample​ mean, x overbar ​, is found to be 106 ​, and the sample standard​ deviation, s, is found to be 10 . ​(a) Construct an 95 ​% confidence interval about mu if the sample​ size, n, is 18 . The Lower Bound and Upper Bound ​(b) Construct an 95 ​% confidence interval about mu if the sample​ size, n, is 25 ....
A simple random sample of size n is drawn from a population that is normally distributed....
A simple random sample of size n is drawn from a population that is normally distributed. The sample​ mean, x​, is found to be 110​, and the sample standard​ deviation, s, is found to be 10. ​ (a) Construct a 98​% confidence interval about mu if the sample​ size, n, is 23. (Use ascending order. Round to one decimal place as​ needed.) Lower​ bound: ____ ​Upper​ bound:____ ​(b) Construct a 98​% confidence interval about mu if the sample​ size, n,...
A simple random sample of size n is drawn from a population that is normally distributed...
A simple random sample of size n is drawn from a population that is normally distributed with population standard deviation of 13 (σ =13). The sample mean is 108 (?̅= 108). Compute a 96 percent confidence interval for the population mean (μ) for a sample size of 25 (n = 25). a. Will you use a z value or a t value in your calculation? Explain? b. What is the value of z or t that you will use in...
A simple random sample of size n is drawn from a population that is normally distributed....
A simple random sample of size n is drawn from a population that is normally distributed. The sample​ mean, x overbarx​, is found to be 105105​, and the sample standard​ deviation, s, is found to be 1010. ​(a) Construct aa 9898​% confidence interval about muμ if the sample​ size, n, is 1515. ​(b) Construct aa 9898​% confidence interval about muμ if the sample​ size, n, is 2424. ​(c) Construct aa 9999​% confidence interval about muμ if the sample​ size, n,...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT