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Chance Encounters II
Pfeifer, Phillip E.Case DARDEN-QA-0783-EDecision AnalysisMovie-industry analyst David Fitzhugh must estimate the value of the sequel rights associated with Chance Encounters (CE), a soon-to-be-produced movie. The producers of CE intend to use the cash from the sale of the sequel rights to help fund production of the original movie. With the purchase of the sequel rights to CE, the client intends to produce a sequel to CE--should the original movie prove successful.Starting at €8.20
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The Roulette Wheel
Pfeifer, Phillip E.Case DARDEN-QA-0718-EDecision AnalysisThe case provides data gathered from 18 hours of play at a single roulette wheel in a Nevada casino. Data include the frequencies of each of the 38 sectors over 904 spins and frequencies of the 22,527 "straight-up" bets placed. Summary data is also available on how bettors react to streaks in even-money outcomes-allowing one to test for the gambler's fallacy. The case is used in an introductory course on data analysis. The data came from Croston ...Starting at €8.20
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A Bayesian Examines the Lady Tasting Tea (Abridged)
Pfeifer, Phillip E.Technical Note DARDEN-QA-0768-EDecision AnalysisThis technical note accompanies the case/class on “The Lady Tasting Tea” (LTT). It describes how a Bayesian would update his or her prior probability for the probability the LTT can correctly distinguish cups of tea based on whether the milk was added first or last. The long-form note (UVA-QA-0769) describes both a discrete model (LTT has p of 0.5 or 0.8) and a more complicated continuous model (p is beta distributed). This abridged note describe...Starting at €8.20
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A Bayesian Examines the Lady Tasting Tea
Pfeifer, Phillip E.Technical Note DARDEN-QA-0769-EDecision AnalysisThis technical note accompanies the case/class on “The Lady Tasting Tea” (LTT). It describes how a Bayesian would update his or her prior probability for the probability the LTT can correctly distinguish cups of tea based on whether the milk was added first or last. This long-form note describes both a discrete model (LTT has p of 0.5 or 0.8) and a more complicated continuous model (p is beta distributed). The abridged note (UVA-QA-0768) describe...Starting at €8.20
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Thomas Jefferson Had Girls (A)
Pfeifer, Phillip E.Case DARDEN-QA-0752-EDecision AnalysisThe A and B cases are intended for undergraduate, MBA, executive education, and MBAExec audiences. They were used as an exam case for “Data Analysis and Optimization,” which is both a first- and second-year MBA elective. They were also used as the first class of an undergraduate business statistics class. The A case begins by explaining that Thomas Jefferson fathered five girls (and one stillborn son) and Randolph Jefferson (Thomas’s brother) fat...Starting at €8.20
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Hightower Department Stores: Imported Stuffed Animals (Spanish version)
Pfeifer, Phillip E.Case DARDEN-QA-0954Decision AnalysisThis is a Spanish translation of the April 15, 2013, version of UVA-QA-0268. Julia Brown, toy buyer for the Hightower Department Stores, has to decide which of three imported stuffed animals will be offered for sale by the 16 Hightower stores during the approaching Christmas shopping season. The case is appropriately used as an introduction to the concepts of least squares and regression analysis. A linear relationship between realized and test-m...Starting at €8.20
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Night-Lights and Nearsightedness (A)
Pfeifer, Phillip E.; Zadnik, KarlaCase DARDEN-QA-0842-EDecision AnalysisResearchers at the University of Pennsylvania were interested in whether exposure to light early in life might affect eye growth and lead to an increased risk of myopia (nearsightedness). Eyes grew rapidly after birth, but myopia usually did not develop until later in life and arose from excessive postnatal eye growth. They knew that the duration of daily light had been shown to increase eye growth in chicks and wondered whether the same might b...Starting at €8.20
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Night-Lights and Nearsightedness (B)
Pfeifer, Phillip E.; Zadnik, KarlaCase DARDEN-QA-0843-EDecision AnalysisAs part of her ongoing research program, Karla Zadnik, dean of the Ohio State University College of Optometry, had access to data on the eyesight of well over 1,000 children from the multicenter Collaborative Longitudinal Evaluation of Ethnicity and Refractive Error (CLEERE) study. In reaction to the Quinn study, she quickly administered a her own survey asking parents to report both their prior use of nighttime lighting and their own refractive ...Starting at €5.74
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Acquisition Cost Allocation at Progressive Insurance
Pfeifer, Phillip E.; Potter, BenjaminCase DARDEN-M-0785-EMarketingOmar Parvaiz, Progressive Insurance field product manager in charge of Tennessee and South Carolina, must analyze the results of a yearlong test of a new pricing algorithm he developed. The new algorithm allocated marketing costs to policies at a variable rate so the allocated marketing costs (and corresponding price in the cost-plus pricing system) increased with the other costs (primarily expected loss costs) associated with providing auto insu...Starting at €8.20
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Sarah Gets a Diamond
Pfeifer, Phillip E.; Mills, GregCase DARDEN-QA-0702-EDecision AnalysisGreg Mills describes his search for the perfect engagement ring which includes an analysis of the prices of 6,000 diamonds. An engineer, Greg hopes to impress Sarah Staggers by using regression to find an underpriced diamond. Students are asked to either select one of the 6,000 diamonds or provide point forecasts for prices of 3,142 diamonds in a hold-out sample. The instructor can use the actual prices of the held-out diamonds to evaluate stude...Starting at €8.20