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Hypothesis testing of travelers using e-tickets and complaints

Most air travelers now use e-tickets. Electronic ticketing allows passengers to not worry about a paper ticket, and it costs the airline companies less to handle than a paper ticketing. However, in recent times the airlines have received complaints from passengers regarding their e-tickets, particularly when connecting flights and a change of airlines were involved. To investigate the problem an independent watchdog agency contacted a random sample of 20 airports and collected information on the number of complaints the airport had with e-tickets for the month of March. The information is reported below.

14
14
16
12
12
14
13
16
15
14

12
15
15
14
13
13
12
13
10
13

At the .05 significance level can the watchdog agency conclude the mean number of complaints per airport is less than 15 per month?

What assumption is necessary before conducting a test of hypothesis?
Plot the number of complaints per airport in a frequency distribution or a dot plot. Is it reasonable to conclude that the population follows a normal distribution?
Conduct a test of hypothesis and interpret the results.

Solution Summary

The solution performs a hypothesis test to interpret the data gathered on complaints made by air travelers using e-tickets.

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