Question

In: Statistics and Probability

An airline claims that the no-show rate for passengers is less than 7%. In a sample...

An airline claims that the no-show rate for passengers is less than 7%. In a sample of 420

randomly selected reservations, 18 w ere no-shows. At α = 0.01, test the airline's claim.

A.

P-value = 0.002 < 0.01; reject H0; There is not enough evidence to support the airline's claim, that is less than 7%

B.

P-value = 0.003 < 0.01; reject H0; There is not enough evidence to support the airline's claim, that is less than 7%

C.

P-value = 0.326 > 0.01; do not reject H0; There is not enough evidence to support the airline's claim, that is less than 7%

D.

P-value = 0.015 > 0.01; do not reject H0; There is not enough evidence to support the airline's claim, that is less than 7%

Solutions

Expert Solution

Solution:-

=> option D. P-value = 0.015 > 0.01; do not reject H0; There is not enough evidence to support the airline's claim, that is less than 7%


Related Solutions

An airline claims that the no-show rate for passengers is less than 5%. In a sample...
An airline claims that the no-show rate for passengers is less than 5%. In a sample of 420 randomly selected reservations, the rate of no-show is 4.5%. Set up the null and alternative hypothesis to test this claim. Describe what type 1 error and type 2 error are in this case. Find the test statistic and make a decision at 5% level of significance.
An airline claims that the no-show rate for passengers is 5%. In a sample of 420...
An airline claims that the no-show rate for passengers is 5%. In a sample of 420 randomly selected reservations, 19 were no-shows. At α = 0.05, test the airline’s claim. Also construct a 95% confidence interval for the proportions of no-show in the airline reservations to see the connection between confidence interval and hypothesis testing.
Because not all airline passengers show up for their reserved seat, an airline sells 125 tickets...
Because not all airline passengers show up for their reserved seat, an airline sells 125 tickets for a flight that holds only 124 passengers. The probability that a passenger does not show up is 0.10, and the passengers behave independently. Round your answers to two decimal places (e.g. 98.76). (a) What is the probability that every passenger who shows up gets a seat? (b) What is the probability that the flight departs with empty seats? (c) What are the mean...
Because not all airline passengers show up for their reserved seats, an airline sells 125 tickets...
Because not all airline passengers show up for their reserved seats, an airline sells 125 tickets for a flight that holds only 120 passengers. The proportion that a passenger does not show up is 10%, and the passengers behave independently. [Think Binomial Dist.] a. What is the proportion that every passenger who shows up gets a seat? b. What is the proportion that the flight departs with empty seats? c. What are the mean and standard deviation of the number...
A random sample of 400 passengers of an airline is polled after their flights. Of those...
A random sample of 400 passengers of an airline is polled after their flights. Of those passengers, 300 say they will fly again with the same airline. Which of the following is the 99% confidence interval for the proportion of passengers that will fly again with the same airline?
An airline estimates that 80% of passengers who reserve the tickets actually show up for the...
An airline estimates that 80% of passengers who reserve the tickets actually show up for the flights. Based on this information, it has to decide how many tickets it will sell for each flight, which is typically more than the number of seats actually available. In the economy section of a particular aircraft, 200 seats are available. The airline sells 225 seats. What is the probability that more passengers will show up than there are seats for?
7. A city claims that less than 50% of drivers favor using red light cameras. In...
7. A city claims that less than 50% of drivers favor using red light cameras. In a survey of 500 drivers, 47% say they are in favor of red light cameras. Test the claim at the .01 level of significance (α=.01) using the p-value method. 8. It is claimed that the mean repair cost for two models of washing machines are the same. The mean repair cost for a sample of 24 Model A machines is $212. The mean repair...
7. A city claims that less than 50% of drivers favor using red light cameras. In...
7. A city claims that less than 50% of drivers favor using red light cameras. In a survey of 500 drivers, 47% say they are in favor of red light cameras. Test the claim at the .01 level of significance (α=.01) using the p-value method. 8. It is claimed that the mean repair cost for two models of washing machines are the same. The mean repair cost for a sample of 24 Model A machines is $212. The mean repair...
A car dealership claims that its average service time is less than 7 hours on weekdays....
A car dealership claims that its average service time is less than 7 hours on weekdays. A random sample of 16 service times was recorded and yielded the statistics x ̅=6.75 hours and s= 1.62 hours. Assume service times are normally distributed, is there enough evidence to support the dealership’s claim at 5% significance level? 10 marks (Please show every step for full marks) Hypotheses: Rejection Region: Test Statistic: Decision/Conclusion:
An​ airline's public relations department says that the airline rarely loses​ passengers' luggage. It further claims...
An​ airline's public relations department says that the airline rarely loses​ passengers' luggage. It further claims that on those occasions when luggage is​ lost, 92 % 92% is recovered and delivered to its owner within 24 hours. A consumer group who surveyed a large number of air travelers found that only 137 of 169 people who lost luggage on that airline were reunited with the missing items by the next day. Does this cast doubt on the​ airline's claim? Explain
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT