Unoccupied seats on flights cause the airlines to lose revenue. Suppose a large airline wants to estimate its average number of unoccupied seats per flight over the past year with the standard deviation of 4.1 seats. To accomplish this, the records of 225 flight are randomly selected and the number of occupied seats is noted with a mean of 11.6 seats. Estimate the expected population mean number of unoccupied seats per flight using 90% confidence interval.

MATLAB: An Introduction with Applications
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Unoccupied seats on flights cause the airlines to lose revenue. Suppose a large airline wants to estimate its average number of
unoccupied seats per flight over the past year with the standard deviation of 4.1 seats. To accomplish this, the records of 225 flights
are randomly selected and the number of occupied seats is noted with a mean of 11.6 seats. Estimate the expected population
mean number of unoccupied seats per flight using 90% confidence interval.
a-b
- * ( ² ) < x < ² + s (8)
d=
e
f=
Transcribed Image Text:Unoccupied seats on flights cause the airlines to lose revenue. Suppose a large airline wants to estimate its average number of unoccupied seats per flight over the past year with the standard deviation of 4.1 seats. To accomplish this, the records of 225 flights are randomly selected and the number of occupied seats is noted with a mean of 11.6 seats. Estimate the expected population mean number of unoccupied seats per flight using 90% confidence interval. a-b - * ( ² ) < x < ² + s (8) d= e f=
10 51.25
5
O
O 1.064
O
2.80
0.21
2.9792
25
5.32
2.58
Transcribed Image Text:10 51.25 5 O O 1.064 O 2.80 0.21 2.9792 25 5.32 2.58
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