The maker of printer cartridges for laser printers wants to estimate the mean number of documents µ that can be printed on a new high-speed printer. The company decides to test the cartridge on two dozen different laser printers. Each document is identical in number of words and amount of graphics. A histogram of the number of pages printed for each printer shows no outliers and is fairly bell-shaped. The mean and standard deviation of the sample were 3,875 sheets, and 170 sheets, respectively. It can be assumed that the laser printers were a random sample of all laser printers on the market. Which of the following is the correct formula for a 90% confidence interval for the mean number of pages printed with the new type of cartridge?

The maker of printer cartridges for laser printers wants to estimate the mean number of documents µ that can be printed on a new high-speed printer. The company decides to test the cartridge on two dozen different laser printers. Each document is identical in number of words and amount of graphics. A histogram of the number of pages printed for each printer shows no outliers and is fairly bell-shaped. The mean and standard deviation of the sample were 3,875 sheets, and 170 sheets, respectively. It can be assumed that the laser printers were a random sample of all laser printers on the market. Which of the following is the correct formula for a 90% confidence interval for the mean number of pages printed with the new type of cartridge?



(A) 3,875 ± 1.711 × (170/v24)
(B) 3,875 ± 1.714 × (170/v24)
(C) 3,875 ± 1.711 × (170/v23)
(D) 3,875 ± 1.714 × (170/v23)
(E) The company should only compute a 95% confidence interval for these data.




Answer: B


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