The owner of a small business is considering three options: buying a computer,leasing a computer, or getting along without a computer. Based on the informationobtained from the firm's accountant, the following payoff table (in terms of netprofit) was developed:State of NatureState # 1State # 2State # 3Alternative(S1)(S2)(S3)A14.A27.A3346.Based on the probability for each state of nature in the previous question (theprobability for S1 to happen equals the probability of S2; the probability for S2 tohappen is three times of S3). Which decision alternative should be selected basedon the expected payoff?O A3O A2O A1O Can't be computed with the given information

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The owner of a small business is considering three options: buying a computer, leasing a computer, or getting along without a computer. Based on the information obtained from the firm's accountant, the following payoff table (in terms of net profit) was developed:

The owner of a small business is considering three options: buying a computer, leasing a computer, or getting along without a computer. Based on the information obtained from the firm's accountant, the following payoff table (in terms of net profit) was developed:

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The trend in home building in recent years has been to emphasize open spaces and great rooms, rather than smaller living rooms and family rooms. A builder of speculative homes in the college community of Oxford, Ohio, had been building such homes, but his homes had been taking many months to sell and had been selling for substantially less than the asking price. In order to determine what types of homes would attract residents of the community, the builder contacted a statistician at a local college. The statistician went to a local real estate agency and obtained the data contained in file OxHome. This data includes the sales price (measured in thousand dollars), square footage, number of rooms, number of bedrooms, and age for each of 60 single-family residences recently sold in the community. Using this data, a regression model was built to predict the sales price of houses in this community. The regression equation from the model is: sales price (thousand dollars) = 19.5 + 0.1079…
The trend in home building in recent years has been to emphasize open spaces and great rooms, rather than smaller living rooms and family rooms. A builder of speculative homes in the college community of Oxford, Ohio, had been building such homes, but his homes had been taking many months to sell and had been selling for substantially less than the asking price. In order to determine what types of homes would attract residents of the community, the builder contacted a statistician at a local college. The statistician went to a local real estate agency and obtained the data contained in file OxHome. This data includes the sales price (measured in thousand dollars), square footage, number of rooms, number of bedrooms, and age for each of 60 single-family residences recently sold in the community. Using this data, a regression model was built to predict the sales price of houses in this community. The regression equation from the model is: sales price (thousand dollars) = 19.5 + 0.1079…
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