A decision maker has prepared the following payoff table. States of Nature Alternative High Low Buy 90 10 Rent 60 35 Lease 50 40 Using the Maximax criterion, what is the best decision and the expected payoff? Best decision Payoff
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- DAAPS A decision maker has prepared the following payoff table. 1 States of Nature Alternative High Low Buy 80 10 Rent 60 45 Lease 50 40 Using the Maximin criterion, what is the best decision and the expected payoff? Best decision PayoffA decision maker has prepared the following payoff table. States of Nature Alternative High Low Buy 75 -10 Rent 70 30 Lease 50 35 Prior Probability 0.5 0.5 Using Baye's Decision Rule, what is the best decision and the expected payoff? (Round your answer to 1 decimal place.) Best decision РayofConsider the following payoff (cost) table with probabilities for each state of nature (s) Decisions D1 D2 0.1 s1 3 state of nature 1-0.1 s2 17 20 The expected value for the best (optimal) decision is
- Exhibit 20-2Below is a payoff table involving three states of nature and two decision alternatives. Decision States of Nature Alternative s1 s2 s3 A 80 45 –20 B 40 50 15 P(s1) = .1, P(s2) = .6, and P(s3) = .3.Refer to Exhibit 20-2. The expected value of the best alternative equals _____. a. 12 b. 38.5 c. 29 d. 105A decision maker has prepared the following payoff table. States of Nature Alternative High Low Buy 100 Rent 60 35 Lease 60 45 Using the Maximax criterion, what is the best decision and the expected payoff? Best decision PayoffA decision maker has prepared the following payoff table. States of Nature Alternative High Low 100 Buy Rent 80 45 Lease 50 40 Using the Maximin criterion, what is the best decision and the expected payoff? Best decision Payoff
- 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 has prepared the following payoff table. States of Nature Alternative High Low Buy 95 10 Rent 65 35 Lease 45 50 Prior Probability 0.8 0.2 Using Baye's Decision Rule, what is the best decision and the expected payoff? (Round your answer to 1 decimal place.) Best decision Payoff Prev 1 of 5 Next >A. A company wants to produce a souvenir with a marketing life of six months. Uncertainty surrounds the likely sales volume as well as the fixed costs of the venture as shown below: Sales units Probability Contrn. /unit Probability Fixed cost K7 K5 100 000 0.3 80 000 0.6 60 000 0.1 1.0 0.5 0.5 1.0 Determine the expected value of the contribution K400 000 K450 000 K500 000 Probability 0.2 0.5 0.3 1.0
- c. From the following decision tree, develop a payoff table and calculate: * Maximax, Minimax regret, Maximin, and EMV. ORs. 50,000 Good conditions (0.60) Poor conditions (0.40) -O Rs. 30,000 Apartment Building Good conditions (0.60) O Rs. 100,000 Office building Poor conditions (0.40) Purchase ORs -40,000 Warchouse Good conditions (0.60) Rs.30, 000 Poor conditions (0.40) O Rs. 10,000Option 2: Raise prices by 50%. If this occurs, there is a 75% chance that an Entrepreneur will set up in competition this year. The board’s estimate of its annual profit in this situation would be as follows: 2A: With new competitor 2B: Without new competitor Probability Profit (Sh.) Probability Profit (Sh.) 0.25 150,000 0.5 200,000 0.5 120,000 0.3 150,000 0.25 80,000 0.2 100,000 Option 3: Expand the car park quickly at a cost of Sh. 50,000 keeping prices theSame. The profits are then estimated to be like 2B above, except that the probabilities would be 0.6, 0.3 and 0.1 respectively. Required: Draw a decision tree for the above problem, including all the relevant data. Using expected values analyze the decision tree and recommend the best option to the owners of the car park.A company wants to produce a souvenir with a marketing life of sixmonths. Uncertainty surrounds the likely sales volume as well as thefixed costs of the venture as shown below:Sales units Probability Contrn. /unit Probability Fixed cost Probability100 000 0.3 K 7 0.5 K400 000 0.2 Page 5 of 80 000 0.6 K 5 0.5 K450 000 0.560 000 0.1 K500 000 0.31.0 1.0 1.0 Determine the expected value of the contribution