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Bankruptcy effect on U.S. airfares. Both Delta Airlines and USAir filed for bankruptcy. A study of the impact of bankruptcy on the fares charged by U.S. airlines was published in Research in Applied Economics (Vol. 2, 2010). The researchers collected data on Orlando-bound airfares for three airlines—Southwest (a stable airline), Delta (just entering bankruptcy at the time), and USAir (emerging from bankruptcy). A large sample of nonrefundable ticket prices was obtained for each airline following USAir’s emergence from bankruptcy, and then a 95% confidence interval for the true mean airfare was obtained for each. The results for 7-day advance bookings are shown in the accompanying table.

a. What confidence coefficient was used to generate the confidence intervals?

b. Give a practical interpretation of each of the 95% confidence intervals. Use the phrase “95% confident” in your answer.

c. When you say you are “95% confident,” what do you mean?

d. If you want to reduce the width of each confidence interval, should you use a smaller or larger confidence coefficient?

Short Answer

Expert verified

a. The confidence coefficient that was used to generate the confidence intervals is 0.95.

b. There is 95% confidence that the true mean airfare for the airline “Southwest” lies between $412 and $495.There is 95% confidence that the true mean airfare for the airline “Delta” lies between $468 and $500.There is 95% confidence that the true mean airfare for the airline “USAir” lies between $247 and $372.

c. The 95% of all similarly generated confidence intervals will contain the true value of the population meanin repeated sampling.

d. The smaller confidence coefficient should be used to reduce the width of the confidence interval because the smaller confidence coefficient leads to the smaller width of the confidence interval.

Step by step solution

01

Given information

A large sample of nonrefundable ticket prices was obtained for each airline following USAir’s emergence from bankruptcy, and then a 95% confidence interval for the true mean airfare was obtained for each. The results for 7-day advance bookings are shown in the accompanying table.

02

(a) Interpretation for confidence intervals

The confidence coefficient that was used to generate the confidence intervals is 0.95.

03

(b)Interpretation

Interpretation for the airline “Southwest”:There is 95% confidence that the true mean airfare for the airline “Southwest” lies between $412 and $495.

Interpretation for the airline “Delta”:There is 95% confidence that the true mean airfare for the airline “Delta” lies between $468 and $500.

Interpretation for the airline “USAir”:There is 95% confidence that the true mean airfare for the airline “USAir” lies between $247 and $372.

Step 3: (c) Interpretation for confidence intervals

The 95% of all similarly generated confidence intervals will contain the true value of the population meanμ in repeated sampling.

04

(d) Interpretation of confidence coefficient

The smaller confidence coefficient should be used to reduce the width of the confidence interval because the smaller confidence coefficient leads to the smaller width of the confidence interval.

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Most popular questions from this chapter

Redeeming tickets from textbook dispatches. Numerous companies now use textbook messaging on cell phones to sell their products. One way to do this is to shoot repairable reduction pasteboard (called an m- pasteboard) via a textbook. The redemption rate of m- tickets — the proportion of tickets redeemed — was the subject of a composition in the Journal of Marketing Research (October 2015). In a two-time study, over boardwalk shoppers shared by subscribing up to admit m-voucher. The experimenters were interested in comparing the redemption rates of m- tickets for different products in a sample of m- tickets for products vended at a milk-shake. Store, 79 were redeemed; in a sample of m- tickets for products vended at a donut store, 72 were redeemed.

a. Cipher the redemption rate for the sample of milk-shake m- tickets.

b. Cipher the redemption rate for the sample of donut m- tickets.

c. Give a point estimate for the difference between the actual redemption rates.

d. Form a 90 confidence interval for the difference between the actual redemption rates. Give a practical interpretation of the output.

e. Explain the meaning of the expression “90 confident” in your answer to part d.

f. Grounded on the interval, part d, is there a “ statistically.” A significant difference between the redemption rates? (Recall that a result is “ statistically” significant if there is substantiation to show that the true difference in proportions isn't 0.)

g. Assume the true difference between redemption rates must exceed.01 ( i.e., 1) for the experimenters to consider the difference “ virtually” significant. Based on the interval, part c, is there a “virtually” significant difference between the redemption rates?

Consider the discrete probability distribution shown here.

x

10

12

18

20

p

.2

.3

.1

.4

a. Calculateμ,σ2 andσ .

b. What isP(x<15) ?

c. Calculate μ±2σ .

d. What is the probability that xis in the interval μ±2σ ?

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a. Give the null and alternative hypotheses for testing the claim.

b. An XLSTAT printout giving the test results is shown at the bottom of the page. Find and interpret the p-value of the test user.

c. What assumptions about the data are required for the inference, part b, to be valid? Check these assumptions graphically using the data in the PBL file.

A random sample of size n = 121 yielded p^ = .88.

a. Is the sample size large enough to use the methods of this section to construct a confidence interval for p? Explain.

b. Construct a 90% confidence interval for p.

c. What assumption is necessary to ensure the validity of this confidence interval?

Tomato as a taste modifier. Miraculin—a protein naturally produced in a rare tropical fruit—has the potential to be an alternative low-calorie sweetener. In Plant Science (May2010), a group of Japanese environmental scientists investigated the ability of a hybrid tomato plant to produce miraculin. For a particular generation of the tomato plant, the amount x of miraculin produced (measured in micrograms per gram of fresh weight) had a mean of 105.3 and a standard deviation of 8.0. Assume that x is normally distributed.

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