A sample of 30 commuters in the area of a certain city yielded the accompanying commute times, in minutes. Preliminary data analyses indicate that the t-interval procedure can reasonably be applied. Find and interpret a 90%. confidence interval for the mean commute time of all commuters in the area of the city. (Note: x= 29.13 minutes and s=9.34 minutes.) Click here to view the commute times. Click here to view page 1 of the t-table. Click here to view page 2 of the t-table The 90% confidence interval is from minute(s) to (Round to one decimal place as needed.) minute(s).

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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A sample of 30 commuters in the area of a certain city yielded the accompanying commute times, in minutes.
Preliminary data analyses indicate that the t-interval procedure can reasonably be applied. Find and interpret a 90%
confidence interval for the mean commute time of all commuters in the area of the city. (Note: x= 29.13 minutes and
s = 9.34 minutes.)
Click here to view the commute times. Click here to view page 1 of the t-table. Click here to view page 2 of the t-table
The 90% confidence interval is from minute(s) to
(Round to one decimal place as needed.)
minute(s).
Transcribed Image Text:A sample of 30 commuters in the area of a certain city yielded the accompanying commute times, in minutes. Preliminary data analyses indicate that the t-interval procedure can reasonably be applied. Find and interpret a 90% confidence interval for the mean commute time of all commuters in the area of the city. (Note: x= 29.13 minutes and s = 9.34 minutes.) Click here to view the commute times. Click here to view page 1 of the t-table. Click here to view page 2 of the t-table The 90% confidence interval is from minute(s) to (Round to one decimal place as needed.) minute(s).
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