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- "The non-liner transformation of the vNM expected utility function fails to reflect the underlying preference relation." Explain the above statement.subjective expected utility(SEU)The application which provides a way of revising conditional probabilities by using available information and provisions for revising conditional probabilities with other information that is useful for management decision making is called? Select one: a. Bayes’ theorem. b. overinvolvement ratios. c. probability rules. d. empirical formula.
- Suppose a consumer has S100 today and he tells you he is willing to wait X amount of time for another $50. The same consumer also tells you that in the future if he has $10 he ts willng to wait Y amount of time for another $50.If Y is greater than X, does the individual exhibit hyperbolic discounting, exponential discounting, or is there not enough information to determine? Briely explain your answer.Apple and Google are interested in hiring a new CEO. Both firms have the same set of final candidates for the CEO position: Indra, Cao, and Virginia. Both firms need to decide who to make a job offer to, and the hiring process is such that they each only make one job offer.If, say, Apple makes a job offer to Indra and Google makes a job offer to one of the other candidates, then Apple’s probability of success in hiring Indra is pIndra. The same is true for Google. If they both make a job offer to Indra, each has probability pIndra/2 of success. It has been estimated that pIndra = 20%, and pCao = pVirginia = 30% (Note that these probabilities need not add up to 100%).Suppose that both Apple and Google attach a valuation of 10 to successfully hiring Indra, and a valuation of 7 to successfully hiring each of the other candidates. A hiring attempt, if unsuccessful, has a valuation of zero. (a) Convert this story into a game by completing the following game table;GoogleIndra Cao…Apple and Google are interested in hiring a new CEO. Both firms have the same set of final candidates for the CEO position: Indra, Cao, and Virginia. Both firms need to decide who to make a job offer to, and the hiring process is such that they each only make one job offer. If, say, Apple makes a job offer to Indra and Google makes a job offer to one of the other candidates, then Apple’s probability of success in hiring Indra is pIndra. The same is true for Google. If they both make a job offer to Indra, each has probability pIndra/2 of success. It has been estimated that pIndra = 20%, and pCao = pVirginia = 30% (Note that these probabilities need not add up to 100%). Suppose that both Apple and Google attach a valuation of 10 to successfully hiring Indra, and a valuation of 7 to successfully hiring each of the other candidates. A hiring attempt, if unsuccessful, has a valuation of zero. Convert this story into a game by completing the following game table; Google…
- Scenario 2 Tess and Lex earn $40,000 per year and all earnings are spent on consumption (c). Tess and Lex both have the utility function ( sqrt c) . Both could experience an adverse event that results in earnings of $0 per year. Tess has a 1% chance of experiencing an adverse event and Lex has a 12% chance of experiencing an adverse event. Tess and Lex are both aware of their risk of an adverse event. Refer to Scenario 2 Calculate Lex’s and Tess' expected utilities without insurance. (each one separated) Round to two decimal places for bothCould you please write your own words, not copy-paste or plagiarism issues Question: Discuss the concept of relativeness in the context of decision making and happiness from behavioral economicsFollowing are the results of a study that used a case–control design. This study evaluated factors associated with admission to college. A total of 650 students were admitted to college (cases), and they were compared to 650 students who were not admitted to college (controls). The purpose of this study was to identify factors that are associated with the likelihood of being accepted into college. (8 questions) Results of a Hypothetical Study of Factors Related to Admission to College Factor Odds Ratio Female gender 1.4 Alcohol consumption 0.5 Sedentary life 1.0 Smoking 0.4 Illicit drug use 0.2 Regular sports practice 2.1 True or False regarding this case–control study. Being female was…