Question: Suppose a scheduled airline flight must average at least 60% occupancy in order to be profitable to the airline. An examination of the occupancy rate for 120 flights at 10:00am from Atlanta to Dallas showed a mean occupancy per flight of 58% and a standard deviation of 11%.

1. If \[\mu \] is the mean occupancy per flight and if the company wishes to determine whether or not this scheduled flight is unprofitable, give the alternative and null hypothesis for the test.
2. Is this a one-tailed or two-tailed test?
3. Do the occupancy data for the 120 flights suggest that this scheduled flight is

unprofitable using \[\alpha =0.05\] ?

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