Question

Most air travellers now use e-tickets. Electronic ticketing allows passengers to not worry about a paper...

Most air travellers 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 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 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:

15 17 16 10 11 10 14 15 12 16
13 11 10 17 12 17 14 13 10 12

At the 0.02 significance level, can the agency conclude that the mean number of complaints per airport is less than 15 per month?

a. What assumption is necessary before conducting a test of hypothesis?

(Click to select)  The population of complaints follows a normal probability distribution.  The population of complaints not follows a normal probability distribution.  The population of complaints follows a uniform probability distribution.

b. Not available in Connect.

c. Conduct a test of hypothesis and interpret the results.

H0 : μ 15; H1 : μ < 15;  (Click to select)  Accept  Reject  H0 if t <  . (Round the final answer to 3 decimal places.)

The value of the test statistic is  . (Negative answer should be indicated by a minus sign. Round the final answer to 2 decimal places.)

(Click to select)  Do not reject  Reject  H0. There is  (Click to select)  not enough  enough  evidence to conclude that the mean number of complaints is less than 15.

Homework Answers

Answer #1

a)
The population of complaints follows a normal probability distribution.

c)
Below are the null and alternative Hypothesis,
Null Hypothesis, H0: μ = 15
Alternative Hypothesis, Ha: μ < 15

Rejection Region
This is left tailed test, for α = 0.02 and df = 19
Critical value of t is -2.205.
Hence reject H0 if t < -2.205

Test statistic,
t = (xbar - mu)/(s/sqrt(n))
t = (13.25 - 15)/(2.5314/sqrt(20))
t = -3.092

reject the null hypothesis.
There is enough evidence to conclude that the mean number of complaints is less than 15.

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