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A simple random sample of size 
n is drawn from a population that is normally distributed. The sample mean, 
bar(x), is found to be 17.6 , and the sample standard deviation, 
s, is found to be 5.7 .
(a) Construct a 
90% confidence interval about 
mu if the sample size, 
n, is 39 .
(b) Construct a 
90% confidence interval about 
mu if the sample size, 
n, is 67 .
How does increasing the sample size affect the margin of error, 
E ?
(c) Construct a 
95% confidence interval about 
mu if the sample size, 
n, is 39 . How does increasing the level of confidence affect the size of the margin of error, 
E ?
(d) If the sample size is 18 , what conditions must be satisfied to compute the confidence interval?
(a) Construct a 
90% confidence interval about 
mu if the sample size, 
n, is 39 .
Lower bound: 16.06 ; Upper bound: 19.14
(Round to two decimal places as needed.)
(b) Construct a 
90% confidence interval about 
mu if the sample size, 
n, is 67 .
Lower bound: 
◻ ; Upper bound: 
◻
(Round to two decimal places as needed.)

A simple random sample of size n n is drawn from a population that is normally distributed. The sample mean, xˉ \bar{x} , is found to be 1717.66 , and the sample standard deviation, s s , is found to be 55.77 .\newline(a) Construct a 90% 90 \% confidence interval about μ \mu if the sample size, n n , is 3939 .\newline(b) Construct a 90% 90 \% confidence interval about μ \mu if the sample size, n n , is 6767 .\newlineHow does increasing the sample size affect the margin of error, E E ?\newline(c) Construct a xˉ \bar{x} 00 confidence interval about μ \mu if the sample size, n n , is 3939 . How does increasing the level of confidence affect the size of the margin of error, E E ?\newline(d) If the sample size is 1818 , what conditions must be satisfied to compute the confidence interval?\newline(a) Construct a 90% 90 \% confidence interval about μ \mu if the sample size, n n , is 3939 .\newlineLower bound: 1616.0606 ; Upper bound: 1919.1414\newline(Round to two decimal places as needed.)\newline(b) Construct a 90% 90 \% confidence interval about μ \mu if the sample size, n n , is 6767 .\newlineLower bound: s s 00 ; Upper bound: s s 00\newline(Round to two decimal places as needed.)

Full solution

Q. A simple random sample of size n n is drawn from a population that is normally distributed. The sample mean, xˉ \bar{x} , is found to be 1717.66 , and the sample standard deviation, s s , is found to be 55.77 .\newline(a) Construct a 90% 90 \% confidence interval about μ \mu if the sample size, n n , is 3939 .\newline(b) Construct a 90% 90 \% confidence interval about μ \mu if the sample size, n n , is 6767 .\newlineHow does increasing the sample size affect the margin of error, E E ?\newline(c) Construct a xˉ \bar{x} 00 confidence interval about μ \mu if the sample size, n n , is 3939 . How does increasing the level of confidence affect the size of the margin of error, E E ?\newline(d) If the sample size is 1818 , what conditions must be satisfied to compute the confidence interval?\newline(a) Construct a 90% 90 \% confidence interval about μ \mu if the sample size, n n , is 3939 .\newlineLower bound: 1616.0606 ; Upper bound: 1919.1414\newline(Round to two decimal places as needed.)\newline(b) Construct a 90% 90 \% confidence interval about μ \mu if the sample size, n n , is 6767 .\newlineLower bound: s s 00 ; Upper bound: s s 00\newline(Round to two decimal places as needed.)
  1. Calculate total tape amount: Determine the total amount of tape needed and the amount per roll.
  2. Divide to find rolls: Perform the division to find the number of rolls required.

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