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Crash Data The Insurance Institute for Highway Safety conducts experiments in which cars are crashed into a fixed barrier at 40 mph. The barrier’s deformable face is made of aluminum honeycomb, which makes the forces in the test similar to those involved in a frontal offset crash between two vehicles of the same weight, each going just less than 40 mph. Suppose you want to know if the mean head injury resulting from this offset crash is the same for large family cars, passenger vans, and midsize utility vehicles. The researcher wants to determine if the means for head injury for each class of vehicle are different. The following data were collected from the institute’s study.

(a) State the null and alternative hypotheses.

(b) Verify that the requirements to use the one-way ANOVA procedure are satisfied. Normal probability plots indicate that the sample data come from normal populations.

(c) Test the hypothesis that the mean head injury for each vehicle type is the same at the level of significance.

(d) Draw boxplots of the three vehicle types to support the analytic results obtained in part (c).

 

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A survey by Ipsos-Reid reported in American Demographics showed that if a person was given a $1,000 wind-fall, 36% would spend the money on home improvement, 24% on leisure travel/vacation, 15% on clothing, 15% on home entertainment or electronic products, and 10% on local entertainment including restaurants and movies. Suppose a researcher believes that these results would not be the same if posed to Europeans. The researcher conducts a new survey interviewing 200 randomly selected European adults asking these same questions. A chi-square goodness-of-fi t test is conducted to compare the results of the new survey to the one takenbyIpsos-Reid. The Excel results follow. The observed and expected values are for the categories as already listed and appear in the same order. Discuss the findings. How did the distribution of results from the new survey compare to the old? Discuss the business implications of this outcome.

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Suppose a large insurance company wants to estimate the difference between the average amount of term life insurance purchased per family and the average amount of whole life insurance purchased per family. To obtain an estimate, one of the company’s actuaries randomly selects 27 families who have term life insurance only and 29 families who have whole life policies only. Each sample is taken from families in which the leading provider is younger than 45 years of age. Use the data obtained to construct a 95% confi dence interval to estimate the difference in means for these two groups. Assume the amount of insurance is normally distributed.

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Car-Buying Discrimination To determine if there is gender and/or race discrimination in car buying, Ian Ayres put together a team of fifteen white males, five white females, four black males, and seven black females who were each asked to obtain an initial offer price from the dealer on a certain model car. The 31 individuals were made to appear as similar as possible to account for other variables that may play a role in the offer price of a car. The following data are based on the results in the article and represent the profit on the initial price offered by the dealer. Ayres wanted to determine if the profit based on the initial offer differed among the four groups.

(a) What is the response variable in this study? Is it qualitative or quantitative?

(b) State the null and alternative hypotheses.

(c) A normal probability plot of each group suggests the data come from a population that is normally distributed. Verify the requirement of equal variances is satisfied.

(d) Test the hypothesis stated in part (b).

(e) Draw side-by-side boxplots of the four groups to support the analytic results of part (d).

(f) What do the results of the analysis suggest?

(g) Because the group of black males has a small sample size, the normality requirement is best verified by assessing the normality of the residuals. Verify the normality requirement by drawing a normal probability plot of the residuals.

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