The following payoff table shows profit for a decision analysis problem with two decision alternatives and three states of nature. Decision Alternative d₁ d₂ States of Nature $₁ $2 $3 230 80 5 80 80 55 Suppose that the decision maker obtained the probabilities P(S₁) = 0.65, P(S₂) = 0.15, and P(S3) = 0.20. Use the expected value approach to determine the optimal decision. EV(d₁) = EV(d₂) =
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- The following payoff table shows a profit for a decision analysis problem with two decision alternatives and three states of nature. In order to get full credit, show your all work done step by step including cell calculations using excel functions. State of Nature Decion Alternatives s1 s2 s3 d1 250 100 50 d2 100 75 100 a) Construct a decision tree for this problem. b) Suppose that the decision-maker obtains the probabilities P(s1)=0.65, P(s2)=0.15, and P(s3)=0.20. Use the expected value approach to determine the optimal decision.Many decision problems have the following simplestructure. A decision maker has two possible decisions,1 and 2. If decision 1 is made, a sure cost of c isincurred. If decision 2 is made, there are two possibleoutcomes, with costs c1 and c2 and probabilities p and1 2 p. We assume that c1 , c , c2. The idea is thatdecision 1, the riskless decision, has a moderate cost,whereas decision 2, the risky decision, has a low costc1 or a high cost c2.a. Calculate the expected cost from the riskydecision.b. List as many scenarios as you can think of thathave this structure. (Here’s an example to get youstarted. Think of insurance, where you pay a surepremium to avoid a large possible loss.) For eachof these scenarios, indicate whether you wouldbase your decision on EMV or on expected utility.Which investment should Warren make under each of the following criteria? a. Maximax criterion. b. Maximin criterion. c. Maximum likelihood criterion. d. Bayes’ decision rule. e. The investor decides that Bayes’ decision rule is his most reliable decision criterion. He believes that 0.1 is just about right as the prior probability of an improving economy, but is quite uncertain about how to split the remaining probabilities between a stable economy and a worsening economy. Therefore, he now wishes to do some sort of sensitivity analysis with respect to these latter two prior probabilities. If he still wants to choose the alternative from the Bayes’ decision rule (part d): e1. How much would be the maximum amount of the prior probability of a stable economy? e2. How much would be the minimum amount of the prior probability of a worsening economy?
- Suppose that a decision is faced with three decision alternatives and four states of nature.The following profit payoff table is constructed: ALTERNATIVES STATE OF NATURE S1 S2 S3 S4 A1 18 12 15 8 A2 15 14 10 11 A3 13 16 19 15 Assuming that the decision maker has no knowledge about the probabilities of occurrenceof the four states of nature, find the decisions to be recommended under each of thefollowing criteria:i. Maximin criterionii. Maximax criterioniii. Minimax Reject criterioniv. Hurwicz criterion with α = 0.6If you want to invest in a project that cost $3.5 million. As we are unsure about the future demand, there is a 40% probability of high demand with a present value for the project $3 million. There is a 25% probability of moderate demand with a present value of $2.5 million. In addition, there is a 35% probability of low demand with a present value is $1.5 million. Draw a decision tree for this problem. What is the expected net present value of the business? Should you invest? Explain. Assume that you can expand the project by investing another $0.6 million after you learn the true future demand state. This would make the present value of the business $3.9 million in the high‐demand state, $3.5 million in the moderate demand state, and $1.80 million in the low demand state. Draw a decision tree to reflect the option to expand. Evaluate the alternatives. What is the net present value of the business if you consider the option to expand? How valuable is the option to expand?A landlord can either lease for one or two years or sell offices outrightly for K100 million with payoffs as follows: Lease -100 50 150 Sell 100 100 100 The probability of rejecting is 30%, leasing for one year is 50% and for two years 20%. Required: What is the optimal decision strategy if perfect information were available? What is the expected value of perfect information? A decision maker is looking to minimising costs through three alternative decisions a1 , b2 and c3 under two states of nature/events S1 and S2 with S1 having a probability of 30% . For a1 payoffs for s1 K100 million and s2 K540 million For a2 payoff for s1 K150 million and s2 –K50 million For a3 payoff for s1 K350 million and s2 K320 million Required: Find EMV and recommend the course of action Find the…
- A payoff table is given as: S1 S2 S3 D1 250 750 500 D2 300 -250 1200 D3 500 500 600 (a) What choice should be made by the optimistic decision maker? (b) What choice should be made by the conservative decision maker? (c) What decision should be made under minimal regret? (d) If the probabilities of d1, d2, and d3 are .2, .5, and .3, respectively, then what choice should be made under expected value?A decision maker is looking to minimising costs through three alternative decisions a1 , b2 and c3 under two states of nature/events S1 and S2 with S2 having a probability of 30% . For a1 payoffs for s1 K100 million and s2 K540 million For a2 payoff for s1 K150 million and s2 –K50 million For a3 payoff for s1 K350 million and s2 K320 million Find EMV and recommend the course of action Find the EMV under certainty Use the EVC to find the EVPI Determine the opportunity loss table Find the course of action that minimises EOL Compare the minimum EOL with the EVPI.Zaki has been thinking about starting his own petrol station. He’s problem is to decide how large his petrol station should be. The annual return that will be achieved depends on whether the economy is good, fair, or poor. A payoff table has been constructed to illustrate this situation: (Business Quantitative Analysis) Determine using the best investment using the following decision criteria: a) Maximax criterion b) Maximin criterion c) Equally Likely criterion d) Minimax Regret criterion The probabilities of good market, average market, and poor market are 0.4, 0.5, and 0.1 respectively. Construct an expected opportunity loss table. Using minimum EOL as the decision criterion, determine the best alternative
- A food company is considering three different salad dressings to introduce nationally, Dressing A, B, and C. They also have the option to not introduce any dressing this year. The profits from dressings A, B, and C are $1,144,712, $1,515,938, and $2,525,542 respectively if the national market is favorable. However, if the national market is unfavorable, the losses are $555,615, $758,875, and $912,435 respectively. Historical data shows a probability of 0.568 for a favorable national market. The company can test the market for salad dressings in selected geographic areas before introducing them nationally. The cost of the test market is $53,331. In the past, the probability of a negative test market was 0.354. Given a positive test market, a favorable national market was actually observed with a probability of 0.745. Given a negative test market, a favorable national market was actually observed with a probability of 0.304. Determine if the company should test the market before…Referring to the payoff table below answer the questions given below: State of Nature Decision Alternatives S1 S2 S2 S3 D1 7 4.5 5 2.5 D2 6 5 8 7 D3 4.5 5 5 5.5 D4 4 5 5.5 6.5 Construct decision tree for this problem Under the condition of uncertainty, what would be the recommended decision using the optimistic and pessimistic approaches?A firm that plans to expand its product line must decide whether to build a small or a large facilityto produce the new products. If it builds a small facility and demand is low, the net present valueafter deducting for building costs will be $400,000. If demand is high, the firm can either maintainthe small facility or expand it. Expansion would have a net present value of $450,000, and maintaining the small facility would have a net present value of $50,000.If a large facility is built and demand is high, the estimated net present value is $800,000. If demandturns out to be low, the net present value will be – $10,000.The probability that demand will be high is estimated to be .60, and the probability of low demandis estimated to be .40.a. Analyze using a tree diagram.