The current no-smoking regulations in office buildings require workers who smoke to take breaks and leave the building in order to satisfy their habits. A study indicates that such workers average 32 minutes per day taking smoking breaks. The standard deviation is 8 minutes. To help reduce the average break, rooms with powerful exhausts were installed in the buildings. To see whether these rooms serve their designed purpose, a random sample of 110 smokers was taken. The total amount of time away from their desks was measured for 1 day. Test to determine whether there has been a decrease in the mean time away from their desks. Compute the p-value and interpret it relative to the costs of Type I and Type II errors. Use a 5% significance level for all tests.

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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USE EXCEL with explanation please

The current no-smoking regulations in office buildings require workers who smoke to
take breaks and leave the building in order to satisfy their habits. A study indicates that such workers
average 32 minutes per day taking smoking breaks. The standard deviation is 8 minutes. To help
reduce the average break, rooms with powerful exhausts were installed in the buildings. To see
whether these rooms serve their designed purpose, a random sample of 110 smokers was taken. The
total amount of time away from their desks was measured for 1 day. Test to determine whether there
has been a decrease in the mean time away from their desks. Compute the p-value and interpret it
relative to the costs of Type I and Type II errors. Use a 5% significance level for all tests.
Transcribed Image Text:The current no-smoking regulations in office buildings require workers who smoke to take breaks and leave the building in order to satisfy their habits. A study indicates that such workers average 32 minutes per day taking smoking breaks. The standard deviation is 8 minutes. To help reduce the average break, rooms with powerful exhausts were installed in the buildings. To see whether these rooms serve their designed purpose, a random sample of 110 smokers was taken. The total amount of time away from their desks was measured for 1 day. Test to determine whether there has been a decrease in the mean time away from their desks. Compute the p-value and interpret it relative to the costs of Type I and Type II errors. Use a 5% significance level for all tests.
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