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Anna Feinberg began working for the Pfeiffer Company in 1968 at age seventeen. By 2005, she had attained the position of bookkeeper, office manager, and assistant treasurer. In appreciation for her skill, dedication, and long years of service, the Pfeiffer board of directors resolved to increase Feinberg’s monthly salary to $4,000 and to create for her a retirement plan. The plan allowed that Feinberg would be given the privilege of retiring from active duty at any time she chose and that she would receive retirement pay of $2,000 per month for life, although the Board expressed the hope that Feinberg would continue to serve the company for many years. Feinberg, however, chose to retire two years later. The Pfeiffer Company paid Feinberg her retirement pay until 2014. The company thereafter discontinued payments.

a. What are the arguments that the company’s promise to pay Feinberg $2,000 per month for life is enforceable?

b. What are the arguments that the company’s promise is not enforceable?

c. What is the proper outcome? Explain.

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A restaurant manager is interested in taking a more statistical approach to predicting customer load. She begins the process by gathering data. One of the restaurant hosts or hostesses is assigned to count customers every five minutes from 7 p.m. until 8 p.m. every Saturday night for three weeks. The data are shown here. After the data are gathered, the manager computes lambda using the data from all three weeks as one data set as a basis for probability analysis. What value of lambda did she find? Assume that these customers randomly arrive and that the arrivals are Poisson distributed. Use the value of lambda computed by the manager and help the manager calculate the probabilities in parts (a) through (e) for any given five-minute interval between 7 p.m. and 8 p.m. on a Saturday night.

a. What is the probability that no customers arrive during any given five-minute interval?

b. What is the probability that six or more customers arrive during any given five-minute interval?

c. What is the probability that during a 10-minute interval fewer than four customers arrive?

d. What is the probability that between three and six (inclusive) customers arrive in any 10-minute interval?

e. What is the probability that exactly eight customers arrive in any 15-minute interval?

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Filling Machines A quality-control engineer wants to find out whether or not a new machine that fills bottles with liquid has less variability than the machine currently in use. The engineer calibrates each machine to fill bottles with 16 ounces of a liquid. After running each machine for 5 hours, she randomly selects 15 filled bottles from each machine and measures their contents. She obtains the following results:

(a) Is the variability in the new machine less than that of the old machine at the  level of significance? Note: Normal probability plots indicate that the data are normally distributed.

(b) Draw boxplots of each data set to confirm the results of part (a) visually.

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Priming Two researchers conducted a study in which two groups of students were asked to answer 42 trivia questions from a board game. The students in group 1 were asked to spend 5 minutes thinking about what it would mean to be a professor, while the students in group 2 were asked to think about soccer hooligans. These pretest thoughts are a form of priming. The 200 students in group 1 had a mean score of 25.4 with a standard deviation of 4.9, while the 200 students in group 2 had a mean score of 15.2 with a standard deviation of 3.

(a) Determine the 90% confidence interval for the difference in scores, . Interpret the interval.

(b) What does this say about priming?

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