Deck 5: Extension: Decision Theory

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Option A has an expected value of $2,000, a minimum payoff of -$4,000, and a maximum payoff of $18,000. Option B has an expected value of $2,200, a minimum payoff of -$1,000, and a maximum payoff of $6,000. Option C has an expected value of $1,900, a minimum payoff of $100, and a maximum payoff of $2,000. In this situation, a risk-averse decision maker would pay __________ for his risk aversion, and a risk-seeking decision maker would pay __________ for his risk seeking.

A) $200; $300
B) $1,100; $5,000
C) $300; $200
D) $2,100; $16,000
E) $400; $200
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لقلب البطاقة.
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The Laplace criterion treats states of nature as being equally likely.
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In reaching a decision, the alternative with the lowest cost should be ranked number 1.
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The maximin approach involves choosing the alternative that has the "best worst" payoff.
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In a decision-making setting, if the manager has to contend with limits on the amount of information he or she can consider, this __________ can lead to a poor decision.

A) bounded rationality
B) suboptimization
C) risk aversion
D) misspecification
E) complexification
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Among decision environments, risk implies that certain parameters have probabilistic outcomes.
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The maximin approach involves choosing the alternative with the highest payoff.
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The maximax approach is a pessimistic strategy.
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Suppose a firm has decided to break its departments down into smaller units. While this likely will help with __________ issues, it raises the possibility that poor decisions will result due to __________.

A) economies of scope; suboptimization
B) economies of scale; risk aversion
C) span of control; suboptimization
D) economies of scope; risk aversion
E) economies of scale; economies of scope
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A decision maker's worst option has an expected value of $1,000, and her best option has an expected value of $3,000. With perfect information, the expected value would be $5,000. The decision maker has discovered a firm that will, for a fee of $1,000, make her position-risk free. How much better off will her firm be if she takes this firm up on its offer?

A) $5,000
B) $4,000
C) $3,000
D) $2,000
E) $1,000
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The value of perfect information is inversely related to losses predicted.
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The expected monetary value approach is most appropriate when the decision maker is risk neutral.
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A decision maker's worst option has an expected value of $1,000, and her best option has an expected value of $3,000. With perfect information, the expected value would be $5,000. What is the expected value of perfect information?

A) $5,000
B) $4,000
C) $3,000
D) $2,000
E) $1,000
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Expected monetary value gives the long-run average payoff if a large number of identical decisions could be made.
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A weakness of the maximin approach is that it loses some information.
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Among decision environments, uncertainty implies that states of nature have wide-ranging probabilities associated with them.
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In decision theory, states of nature refer to possible future conditions.
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Bounded rationality refers to the limits imposed on decision making because of costs, human abilities, time, technology, and/or availability of information.
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A systemic view of the organization and its operations processes can help minimize the risk of __________ leading to a poor decision.

A) bounded rationality
B) suboptimization
C) risk aversion
D) misspecification
E) complexification
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Decision trees, with their predetermined analysis of a situation, are really not useful in making health care decisions since every person is unique.
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Which of the following characterizes decision making under uncertainty?

A) Decision makers must rely on probabilities in assessing outcomes.
B) The likelihood of possible future events is unknown.
C) Relevant parameters have known values.
D) Certain parameters have probabilistic outcomes.
E) Lack of knowledge about how risk-averse the decision maker is.
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Testing how a problem solution reacts to changes in one or more of the model parameters is called:

A) simulation.
B) sensitivity analysis.
C) priority recognition.
D) analysis of variance.
E) decision analysis.
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Sensitivity analysis is required because:

A) payoffs and probabilities are estimates.
B) most decisions will affect employees.
C) expected payoffs are sensitive to the time value of money.
D) it is the second step in the decision model.
E) with the passage of time, small decisions get bigger.
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A decision tree is:

A) an algebraic representation of alternatives.
B) a behavioral representation of alternatives.
C) a matrix representation of alternatives.
D) a schematic representation of alternatives.
E) limited to a maximum of 12 branches.
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Which phrase best describes the term "bounded rationality"?

A) thinking a problem through clearly before acting
B) taking care not to exhaust limited resources
C) the result of departmentalized decision making
D) limits imposed on decision making by costs, time, and technology
E) the use of extremely structured steps in the decision-making process
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A tabular presentation that shows the outcome for each decision alternative under the various possible states of nature is called a:

A) payoff table.
B) feasible region.
C) Laplace table.
D) decision tree.
E) payback period matrix.
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Determining the average payoff for each alternative and choosing the alternative with the highest average is the approach called:

A) minimin.
B) maximin.
C) maximax.
D) minimax regret.
E) Laplace.
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Determining the worst payoff for each alternative and choosing the alternative with the "best worst" is the approach called:

A) minimin.
B) maximin.
C) maximax.
D) minimax regret.
E) Laplace.
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The term "sensitivity analysis" is most closely associated with:

A) maximax.
B) maximin.
C) decision making under risk.
D) minimax regret.
E) Laplace criterion.
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Consider the following decision scenario:  State of Nature  High  Low  Buy $80āˆ—0 Rent 7030 Lease 3050\begin{array} { c } { \text { State of Nature } } \\\begin{array} { | l | l | l | } \hline & \text { High } & \text { Low } \\\hline \text { Buy } & \$ 80 ^ { * } & 0 \\\hline \text { Rent } & 70 & 30 \\\hline \text { Lease } & 30 & 50 \\\hline\end{array}\end{array} *PV for profits ($000) The minimax regret strategy would be:

A) buy.
B) lease.
C) rent.
D) high.
E) low.
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The difference between expected payoff under certainty and expected payoff under risk is the expected:

A) monetary value.
B) value of perfect information.
C) net present value.
D) rate of return.
E) profit.
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The maximin approach to decision making refers to:

A) minimizing the maximum return.
B) maximizing the minimum return.
C) maximizing the minimum expected value.
D) choosing the alternative with the highest payoff.
E) choosing the alternative with the minimum payoff.
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The expected monetary value criterion (EMV) is the decision-making approach used with the decision environment of:

A) certainty.
B) risk.
C) uncertainty.
D) aversion.
E) neutrality.
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Consider the following decision scenario:  State of Nature  High  Low  Buy $80āˆ—0 Rent 7030 Lease 3050\begin{array} { c } { \text { State of Nature } } \\\begin{array} { | l | l | l | } \hline & \text { High } & \text { Low } \\\hline \text { Buy } & \$ 80 ^ { * } & 0 \\\hline \text { Rent } & 70 & 30 \\\hline \text { Lease } & 30 & 50 \\\hline\end{array}\end{array} *PV for profits ($000) The maximax strategy would be:

A) buy.
B) lease.
C) rent.
D) high.
E) low.
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The term "opportunity loss or regret" is most closely associated with:

A) minimax regret.
B) maximax.
C) maximin.
D) expected monetary value.
E) Laplace.
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Consider the following decision scenario:  State of Nature  High  Low  Buy $80āˆ—0 Rent 7030 Lease 3050\begin{array} { c } { \text { State of Nature } } \\\begin{array} { | l | l | l | } \hline & \text { High } & \text { Low } \\\hline \text { Buy } & \$ 80 ^ { * } & 0 \\\hline \text { Rent } & 70 & 30 \\\hline \text { Lease } & 30 & 50 \\\hline\end{array}\end{array} *PV for profits ($000) The maximin strategy would be:

A) buy.
B) lease.
C) rent.
D) high.
E) low.
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If the minimum expected regret is computed, it indicates to a decision maker the expected:

A) value of perfect information.
B) payoff under certainty.
C) monetary value.
D) payoff under risk.
E) risk-seeking.
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The term "suboptimization" is best described as the:

A) result of individual departments making the best decisions for their own areas but hurting other areas.
B) limitations on decision making caused by costs and time.
C) result of failure to adhere to the steps in the decision process.
D) result of ignoring symptoms of the problem.
E) optimization on a micro level that extends to the macro level.
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Which of the following is not an approach for decision making under uncertainty?

A) decision trees
B) maximin
C) maximax
D) minimax regret
E) Laplace
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Which one of these is not used in decision making under risk?

A) EVPI
B) EMV
C) decision trees
D) minimax regret
E) All are used for risk situations.
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The operations manager for a local bus company wants to decide whether he should purchase a small, medium, or large new bus for his company. He estimates that the annual profits (in $000) will vary depending upon whether passenger demand is low, medium, or high, as follows:  Bus  DEMAND  LOW  MEDIUM  HIGH  Small 506070 Medium 408090 Large 2050120\begin{array} { | l | l | l | l | } \hline \text { Bus } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\ \hline \text { Small } & 50 & 60 & 70 \\\hline \text { Medium } & 40 & 80 & 90 \\\hline \text { Large } & 20 & 50 & 120 \\\hline\end{array} If he feels the chances of low, medium, and high demand are 30 percent, 30 percent, and 40 percent respectively, what is his expected value of perfect information?

A) $15,000
B) $61,000
C) $69,000
D) $72,000
E) $87,000
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The new owner of a beauty shop is trying to decide whether to hire one, two, or three beauticians. She estimates that profits next year (in thousands of dollars) will vary with demand for her services, and she has estimated demand in three categories, low, medium, and high.  NUMBER  OF  BEAUTICIANS  DEMAND  LOW  MEDIUM  HIGH  One 5075100 Two 0100100 Three āˆ’10070300\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { BEAUTICIANS }\end{array} } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\\hline \text { One } & 50 & 75 & 100 \\\hline \text { Two } & 0 & 100 & 100 \\\hline \text { Three } & - 100 & 70 & 300 \\\hline\end{array} If she feels the chances of low, medium, and high demand are 50 percent, 20 percent, and 30 percent respectively, what are the expected annual profits for the number of beauticians she will decide to hire?

A) $54,000
B) $55,000
C) $70,000
D) $80,000
E) $135,000
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Consider the following decision scenario:  State of Nature  Yes  No  Small $10āˆ—30 Medium 2040 Med.-Large 3045 Large 4035 Ex-Large 6020\begin{array} {r} { \text { State of Nature } } \\\begin{array} { | l | l | l | } \hline & \text { Yes } & \text { No } \\\hline \text { Small } & \$ 10 ^ { * } & 30 \\\hline \text { Medium } & 20 & 40 \\\hline \text { Med.-Large } & 30 & 45 \\\hline \text { Large } & 40 & 35 \\\hline \text { Ex-Large } & 60 & 20 \\\hline\end{array}\end{array} *PV for profits ($000) The maximin strategy would be:

A) small.
B) medium.
C) med.-large.
D) large.
E) ex-large.
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Consider the following decision scenario:  State of Nature  Yes  No  Small $10āˆ—30 Medium 2040 Med.-Large 3045 Large 4035 Ex-Large 6020\begin{array} {r} { \text { State of Nature } } \\\begin{array} { | l | l | l | } \hline & \text { Yes } & \text { No } \\\hline \text { Small } & \$ 10 ^ { * } & 30 \\\hline \text { Medium } & 20 & 40 \\\hline \text { Med.-Large } & 30 & 45 \\\hline \text { Large } & 40 & 35 \\\hline \text { Ex-Large } & 60 & 20 \\\hline\end{array}\end{array} *PV for profits ($000) The minimax regret strategy would be:

A) small.
B) medium.
C) med.-large.
D) large.
E) ex-large.
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Consider the following decision scenario:  State of Nature  High  Med.  Low  A $20āˆ—205 B 253011 C 301213 D 101212 E 5040āˆ’28\begin{array} { c} { \text { State of Nature } } \\\begin{array} { | l | l | l | l | } \hline { } & \text { High } & \text { Med. } & \text { Low } \\\hline \text { A } & \$ 20 ^ { * } & 20 & 5 \\\hline \text { B } & 25 & 30 & 11 \\\hline \text { C } & 30 & 12 & 13 \\\hline \text { D } & 10 & 12 & 12 \\\hline \text { E } & 50 & 40 & - 28 \\\hline\end{array}\end{array} *PV for profits ($000) With equally likely states of nature, the alternative that has the largest expected monetary value is:

A) A.
B) B.
C) C.
D) D.
E) E.
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The new owner of a beauty shop is trying to decide whether to hire one, two, or three beauticians. She estimates that profits next year (in thousands of dollars) will vary with demand for her services, and she has estimated demand in three categories, low, medium, and high.  NUMBER  OF  BEAUTICIANS  DEMAND  LOW  MEDIUM  HIGH  One 5075100 Two 0100100 Three āˆ’10070300\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { BEAUTICIANS }\end{array} } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\\hline \text { One } & 50 & 75 & 100 \\\hline \text { Two } & 0 & 100 & 100 \\\hline \text { Three } & - 100 & 70 & 300 \\\hline\end{array} If she uses the maximax criterion, how many beauticians will she decide to hire?

A) one
B) two
C) three
D) either one or two
E) either two or three
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Consider the following decision scenario:  State of Nature  High  Med.  Low  A $20āˆ—205 B 253011 C 301213 D 101212 E 5040āˆ’28\begin{array} { c} { \text { State of Nature } } \\\begin{array} { | l | l | l | l | } \hline { } & \text { High } & \text { Med. } & \text { Low } \\\hline \text { A } & \$ 20 ^ { * } & 20 & 5 \\\hline \text { B } & 25 & 30 & 11 \\\hline \text { C } & 30 & 12 & 13 \\\hline \text { D } & 10 & 12 & 12 \\\hline \text { E } & 50 & 40 & - 28 \\\hline\end{array}\end{array} *PV for profits ($000) The maximax strategy would be:

A) A.
B) B.
C) C.
D) D.
E) E.
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The operations manager for a local bus company wants to decide whether he should purchase a small, medium, or large new bus for his company. He estimates that the annual profits (in $000) will vary depending upon whether passenger demand is low, medium, or high, as follows:  Bus  DEMAND  LOW  MEDIUM  HIGH  Small 506070 Medium 408090 Large 2050120\begin{array} { | l | l | l | l | } \hline \text { Bus } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\ \hline \text { Small } & 50 & 60 & 70 \\\hline \text { Medium } & 40 & 80 & 90 \\\hline \text { Large } & 20 & 50 & 120 \\\hline\end{array} If he uses the Laplace criterion, which size bus will he decide to purchase?

A) small
B) medium
C) large
D) either small or medium
E) either medium or large
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The operations manager for a well-drilling company must recommend whether to build a new facility, expand his existing one, or do nothing. He estimates that long-run profits (in $000) will vary with the amount of precipitation (rainfall) as follows:  ALTERNATIVE  PRECIPITATION  LOW  NORMAL  HIGH  Do Nothing āˆ’100100300 Expand 350500200 Build New 7503000\begin{array} { | l | l | l | l | } \hline { \text { ALTERNATIVE } } & { \text { PRECIPITATION } } \\\hline& \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { Do Nothing } & - 100 & 100 & 300 \\\hline \text { Expand } & 350 & 500 & 200 \\\hline \text { Build New } & 750 & 300 & 0 \\\hline\end{array} If he uses the maximax criterion, which alternative will he decide to select?

A) do nothing
B) expand
C) build new
D) either do nothing or expand
E) either expand or build new
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The new owner of a beauty shop is trying to decide whether to hire one, two, or three beauticians. She estimates that profits next year (in thousands of dollars) will vary with demand for her services, and she has estimated demand in three categories, low, medium, and high.  NUMBER  OF  BEAUTICIANS  DEMAND  LOW  MEDIUM  HIGH  One 5075100 Two 0100100 Three āˆ’10070300\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { BEAUTICIANS }\end{array} } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\\hline \text { One } & 50 & 75 & 100 \\\hline \text { Two } & 0 & 100 & 100 \\\hline \text { Three } & - 100 & 70 & 300 \\\hline\end{array} If she feels the chances of low, medium, and high demand are 50 percent, 20 percent, and 30 percent respectively, what is her expected value of perfect information?

A) $54,000
B) $65,000
C) $70,000
D) $80,000
E) $135,000
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Consider the following decision scenario:  State of Nature  Yes  No  Small $10āˆ—30 Medium 2040 Med.-Large 3045 Large 4035 Ex-Large 6020\begin{array} {r} { \text { State of Nature } } \\\begin{array} { | l | l | l | } \hline & \text { Yes } & \text { No } \\\hline \text { Small } & \$ 10 ^ { * } & 30 \\\hline \text { Medium } & 20 & 40 \\\hline \text { Med.-Large } & 30 & 45 \\\hline \text { Large } & 40 & 35 \\\hline \text { Ex-Large } & 60 & 20 \\\hline\end{array}\end{array} *PV for profits ($000) The maximax strategy would be:

A) small.
B) medium.
C) med.-large.
D) large.
E) ex-large.
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Consider the following decision scenario:  State of Nature  High  Low  Buy $80āˆ—0 Rent 7030 Lease 3050\begin{array} { c } { \text { State of Nature } } \\\begin{array} { | l | l | l | } \hline & \text { High } & \text { Low } \\\hline \text { Buy } & \$ 80 ^ { * } & 0 \\\hline \text { Rent } & 70 & 30 \\\hline \text { Lease } & 30 & 50 \\\hline\end{array}\end{array} *PV for profits ($000) If P(high) is .60, the choice for maximum expected value would be:

A) buy.
B) lease.
C) rent.
D) high.
E) low.
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The operations manager for a local bus company wants to decide whether he should purchase a small, medium, or large new bus for his company. He estimates that the annual profits (in $000) will vary depending upon whether passenger demand is low, medium, or high, as follows:  Bus  DEMAND  LOW  MEDIUM  HIGH  Small 506070 Medium 408090 Large 2050120\begin{array} { | l | l | l | l | } \hline \text { Bus } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\ \hline \text { Small } & 50 & 60 & 70 \\\hline \text { Medium } & 40 & 80 & 90 \\\hline \text { Large } & 20 & 50 & 120 \\\hline\end{array} If he uses the maximin criterion, which size bus will he decide to purchase?

A) small
B) medium
C) large
D) either small or medium
E) either medium or large
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Consider the following decision scenario:  State of Nature  Yes  No  Small $10āˆ—30 Medium 2040 Med.-Large 3045 Large 4035 Ex-Large 6020\begin{array} {r} { \text { State of Nature } } \\\begin{array} { | l | l | l | } \hline & \text { Yes } & \text { No } \\\hline \text { Small } & \$ 10 ^ { * } & 30 \\\hline \text { Medium } & 20 & 40 \\\hline \text { Med.-Large } & 30 & 45 \\\hline \text { Large } & 40 & 35 \\\hline \text { Ex-Large } & 60 & 20 \\\hline\end{array}\end{array} *PV for profits ($000) If yes and no are equally likely, which alternative has the largest expected monetary value?

A) small.
B) medium.
C) med.-large.
D) large.
E) ex-large.
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Consider the following decision scenario:  State of Nature  High  Med.  Low  A $20āˆ—205 B 253011 C 301213 D 101212 E 5040āˆ’28\begin{array} { c} { \text { State of Nature } } \\\begin{array} { | l | l | l | l | } \hline { } & \text { High } & \text { Med. } & \text { Low } \\\hline \text { A } & \$ 20 ^ { * } & 20 & 5 \\\hline \text { B } & 25 & 30 & 11 \\\hline \text { C } & 30 & 12 & 13 \\\hline \text { D } & 10 & 12 & 12 \\\hline \text { E } & 50 & 40 & - 28 \\\hline\end{array}\end{array} *PV for profits ($000) The maximin strategy would be:

A) A.
B) B.
C) C.
D) D.
E) E.
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The operations manager for a local bus company wants to decide whether he should purchase a small, medium, or large new bus for his company. He estimates that the annual profits (in $000) will vary depending upon whether passenger demand is low, medium, or high, as follows:  Bus  DEMAND  LOW  MEDIUM  HIGH  Small 506070 Medium 408090 Large 2050120\begin{array} { | l | l | l | l | } \hline \text { Bus } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\ \hline \text { Small } & 50 & 60 & 70 \\\hline \text { Medium } & 40 & 80 & 90 \\\hline \text { Large } & 20 & 50 & 120 \\\hline\end{array} If he uses the minimax regret criterion, which size bus will he decide to purchase?

A) small
B) medium
C) large
D) either small or medium
E) either medium or large
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Consider the following decision scenario:  State of Nature  High  Med.  Low  A $20āˆ—205 B 253011 C 301213 D 101212 E 5040āˆ’28\begin{array} { c} { \text { State of Nature } } \\\begin{array} { | l | l | l | l | } \hline { } & \text { High } & \text { Med. } & \text { Low } \\\hline \text { A } & \$ 20 ^ { * } & 20 & 5 \\\hline \text { B } & 25 & 30 & 11 \\\hline \text { C } & 30 & 12 & 13 \\\hline \text { D } & 10 & 12 & 12 \\\hline \text { E } & 50 & 40 & - 28 \\\hline\end{array}\end{array} *PV for profits ($000) The minimax regret strategy would be:

A) A.
B) B.
C) C.
D) D.
E) E.
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The new owner of a beauty shop is trying to decide whether to hire one, two, or three beauticians. She estimates that profits next year (in thousands of dollars) will vary with demand for her services, and she has estimated demand in three categories, low, medium, and high.  NUMBER  OF  BEAUTICIANS  DEMAND  LOW  MEDIUM  HIGH  One 5075100 Two 0100100 Three āˆ’10070300\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { BEAUTICIANS }\end{array} } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\\hline \text { One } & 50 & 75 & 100 \\\hline \text { Two } & 0 & 100 & 100 \\\hline \text { Three } & - 100 & 70 & 300 \\\hline\end{array} If she uses the minimax regret criterion, how many beauticians will she decide to hire?

A) one
B) two
C) three
D) either one or two
E) either two or three
Ų³Ų¤Ų§Ł„
The new owner of a beauty shop is trying to decide whether to hire one, two, or three beauticians. She estimates that profits next year (in thousands of dollars) will vary with demand for her services, and she has estimated demand in three categories, low, medium, and high.  NUMBER  OF  BEAUTICIANS  DEMAND  LOW  MEDIUM  HIGH  One 5075100 Two 0100100 Three āˆ’10070300\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { BEAUTICIANS }\end{array} } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\\hline \text { One } & 50 & 75 & 100 \\\hline \text { Two } & 0 & 100 & 100 \\\hline \text { Three } & - 100 & 70 & 300 \\\hline\end{array} If she uses the Laplace criterion, how many beauticians will she decide to hire?

A) one
B) two
C) three
D) either one or two
E) either two or three
Ų³Ų¤Ų§Ł„
The operations manager for a local bus company wants to decide whether he should purchase a small, medium, or large new bus for his company. He estimates that the annual profits (in $000) will vary depending upon whether passenger demand is low, medium, or high, as follows:  Bus  DEMAND  LOW  MEDIUM  HIGH  Small 506070 Medium 408090 Large 2050120\begin{array} { | l | l | l | l | } \hline \text { Bus } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\ \hline \text { Small } & 50 & 60 & 70 \\\hline \text { Medium } & 40 & 80 & 90 \\\hline \text { Large } & 20 & 50 & 120 \\\hline\end{array} If he feels the chances of low, medium, and high demand are 30 percent, 30 percent, and 40 percent respectively, what is the expected annual profit for the bus that he will decide to purchase?

A) $15,000
B) $61,000
C) $69,000
D) $72,000
E) $87,000
Ų³Ų¤Ų§Ł„
The local operations manager for the Internal Revenue Service must decide whether to hire one, two, or three temporary tax examiners for the upcoming tax season. She estimates that net revenues (in thousands of dollars) will vary with how well taxpayers comply with the new tax code just passed by Congress, as follows:  NUMBER  OF  EXAMINERS  COMPLIANCE  LOW  NORMAL  HIGH  One 505050 Two 1006020 Three 15070āˆ’10\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { EXAMINERS }\end{array} } & { \text { COMPLIANCE } } \\\hline & \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { One } & 50 & 50 & 50 \\\hline \text { Two } & 100 & 60 & 20 \\\hline \text { Three } & 150 & 70 & - 10 \\\hline\end{array} If she uses the minimax regret criterion, how many new examiners will she decide to hire?

A) one
B) two
C) three
D) either one or two
E) either two or three
Ų³Ų¤Ų§Ł„
The operations manager for a well-drilling company must recommend whether to build a new facility, expand his existing one, or do nothing. He estimates that long-run profits (in $000) will vary with the amount of precipitation (rainfall) as follows:  ALTERNATIVE  PRECIPITATION  LOW  NORMAL  HIGH  Do Nothing āˆ’100100300 Expand 350500200 Build New 7503000\begin{array} { | l | l | l | l | } \hline { \text { ALTERNATIVE } } & { \text { PRECIPITATION } } \\\hline& \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { Do Nothing } & - 100 & 100 & 300 \\\hline \text { Expand } & 350 & 500 & 200 \\\hline \text { Build New } & 750 & 300 & 0 \\\hline\end{array} If he uses the Laplace criterion, which alternative will he decide to select?

A) do nothing
B) expand
C) build new
D) either do nothing or expand
E) either expand or build new
Ų³Ų¤Ų§Ł„
The owner of Tastee Cookies needs to decide whether to lease a small, medium, or large new retail outlet. She estimates that monthly profits will vary with demand for her cookies as follows: SIZEOFDEMAND OUTLET  LOW  HIGH  Small $1,0001,000 Medium 5002,500 Large 03,000\begin{array}{|l|l|l|l|}\hline\text {SIZE}\\\text {OF}&\text {DEMAND}\\\hline \text { OUTLET } & \text { LOW } && \text { HIGH } \\\hline \text { Small } & \$ 1,000 && 1,000 \\\hline \text { Medium } & 500 && 2,500 \\\hline \text { Large } & 0 && 3,000 \\\hline\end{array} If she uses the maximin criterion, what size outlet will she decide to lease?

A) small
B) medium
C) large
D) either small or medium
E) either medium or large
Ų³Ų¤Ų§Ł„
The construction manager for Acme Construction, Inc., must decide whether to build single-family homes, apartments, or condominiums. He estimates annual profits (in $000) will vary with the population trend as follows:  Type  POPULATION TREND  Declining  Stable  Growing  Single Family 2009070 Apartments 7017090 Condos āˆ’20100220\begin{array} { | l | l | l | l | } \hline { \text { Type } } & { \text { POPULATION TREND } } \\\hline & \text { Declining } & \text { Stable } & \text { Growing } \\ \hline \text { Single Family } & 200 & 90 & 70 \\\hline \text { Apartments } & 70 & 170 & 90 \\\hline \text { Condos } & - 20 & 100 & 220 \\\hline\end{array} If he uses the Laplace criterion, which kind of dwellings will he decide to build?

A) single family
B) apartments
C) condos
D) either single family or apartments
E) either apartments or condos
Ų³Ų¤Ų§Ł„
The operations manager for a well-drilling company must recommend whether to build a new facility, expand his existing one, or do nothing. He estimates that long-run profits (in $000) will vary with the amount of precipitation (rainfall) as follows:  ALTERNATIVE  PRECIPITATION  LOW  NORMAL  HIGH  Do Nothing āˆ’100100300 Expand 350500200 Build New 7503000\begin{array} { | l | l | l | l | } \hline { \text { ALTERNATIVE } } & { \text { PRECIPITATION } } \\\hline& \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { Do Nothing } & - 100 & 100 & 300 \\\hline \text { Expand } & 350 & 500 & 200 \\\hline \text { Build New } & 750 & 300 & 0 \\\hline\end{array} If he uses the minimax regret criterion, which alternative will he decide to select?

A) do nothing
B) expand
C) build new
D) either do nothing or expand
E) either expand or build new
Ų³Ų¤Ų§Ł„
The construction manager for Acme Construction, Inc., must decide whether to build single-family homes, apartments, or condominiums. He estimates annual profits (in $000) will vary with the population trend as follows:  Type  POPULATION TREND  Declining  Stable  Growing  Single Family 2009070 Apartments 7017090 Condos āˆ’20100220\begin{array} { | l | l | l | l | } \hline { \text { Type } } & { \text { POPULATION TREND } } \\\hline & \text { Declining } & \text { Stable } & \text { Growing } \\ \hline \text { Single Family } & 200 & 90 & 70 \\\hline \text { Apartments } & 70 & 170 & 90 \\\hline \text { Condos } & - 20 & 100 & 220 \\\hline\end{array} If he feels the chances of declining, stable, and growing population trends are 40 percent, 50 percent, and 10 percent, respectively, what is his expected value of perfect information?

A) $187,000
B) $132,000
C) $123,000
D) $65,000
E) $55,000
Ų³Ų¤Ų§Ł„
The operations manager for a well-drilling company must recommend whether to build a new facility, expand his existing one, or do nothing. He estimates that long-run profits (in $000) will vary with the amount of precipitation (rainfall) as follows:  ALTERNATIVE  PRECIPITATION  LOW  NORMAL  HIGH  Do Nothing āˆ’100100300 Expand 350500200 Build New 7503000\begin{array} { | l | l | l | l | } \hline { \text { ALTERNATIVE } } & { \text { PRECIPITATION } } \\\hline& \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { Do Nothing } & - 100 & 100 & 300 \\\hline \text { Expand } & 350 & 500 & 200 \\\hline \text { Build New } & 750 & 300 & 0 \\\hline\end{array} If he feels the chances of low, normal, and high precipitation are 30 percent, 20 percent, and 50 percent respectively, what is his expected value of perfect information?

A) $140,000
B) $170,000
C) $285,000
D) $305,000
E) $475,000
Ų³Ų¤Ų§Ł„
The owner of Tastee Cookies needs to decide whether to lease a small, medium, or large new retail outlet. She estimates that monthly profits will vary with demand for her cookies as follows: SIZEOFDEMAND OUTLET  LOW  HIGH  Small $1,0001,000 Medium 5002,500 Large 03,000\begin{array}{|l|l|l|l|}\hline\text {SIZE}\\\text {OF}&\text {DEMAND}\\\hline \text { OUTLET } & \text { LOW } && \text { HIGH } \\\hline \text { Small } & \$ 1,000 && 1,000 \\\hline \text { Medium } & 500 && 2,500 \\\hline \text { Large } & 0 && 3,000 \\\hline\end{array} If she uses the maximax criterion, what size outlet will she decide to lease?

A) small
B) medium
C) large
D) either small or medium
E) either medium or large
Ų³Ų¤Ų§Ł„
The owner of Tastee Cookies needs to decide whether to lease a small, medium, or large new retail outlet. She estimates that monthly profits will vary with demand for her cookies as follows: SIZEOFDEMAND OUTLET  LOW  HIGH  Small $1,0001,000 Medium 5002,500 Large 03,000\begin{array}{|l|l|l|l|}\hline\text {SIZE}\\\text {OF}&\text {DEMAND}\\\hline \text { OUTLET } & \text { LOW } && \text { HIGH } \\\hline \text { Small } & \$ 1,000 && 1,000 \\\hline \text { Medium } & 500 && 2,500 \\\hline \text { Large } & 0 && 3,000 \\\hline\end{array} If she feels there is a 30 percent chance that demand will be high, what is her expected payoff under certainty?

A) $1,600
B) $1,100
C) $1,000
D) $900
E) $500
Ų³Ų¤Ų§Ł„
The owner of Tastee Cookies needs to decide whether to lease a small, medium, or large new retail outlet. She estimates that monthly profits will vary with demand for her cookies as follows: SIZEOFDEMAND OUTLET  LOW  HIGH  Small $1,0001,000 Medium 5002,500 Large 03,000\begin{array}{|l|l|l|l|}\hline\text {SIZE}\\\text {OF}&\text {DEMAND}\\\hline \text { OUTLET } & \text { LOW } && \text { HIGH } \\\hline \text { Small } & \$ 1,000 && 1,000 \\\hline \text { Medium } & 500 && 2,500 \\\hline \text { Large } & 0 && 3,000 \\\hline\end{array} If she uses the minimax regret criterion, what size outlet will she decide to lease?

A) small
B) medium
C) large
D) either small or medium
E) either medium or large
Ų³Ų¤Ų§Ł„
The operations manager for a well-drilling company must recommend whether to build a new facility, expand his existing one, or do nothing. He estimates that long-run profits (in $000) will vary with the amount of precipitation (rainfall) as follows:  ALTERNATIVE  PRECIPITATION  LOW  NORMAL  HIGH  Do Nothing āˆ’100100300 Expand 350500200 Build New 7503000\begin{array} { | l | l | l | l | } \hline { \text { ALTERNATIVE } } & { \text { PRECIPITATION } } \\\hline& \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { Do Nothing } & - 100 & 100 & 300 \\\hline \text { Expand } & 350 & 500 & 200 \\\hline \text { Build New } & 750 & 300 & 0 \\\hline\end{array} If he feels the chances of low, normal, and high precipitation are 30 percent, 20 percent, and 50 percent respectively, what are expected long-run profits for the alternative he will select?

A) $140,000
B) $170,000
C) $285,000
D) $305,000
E) $475,000
Ų³Ų¤Ų§Ł„
The local operations manager for the Internal Revenue Service must decide whether to hire one, two, or three temporary tax examiners for the upcoming tax season. She estimates that net revenues (in thousands of dollars) will vary with how well taxpayers comply with the new tax code just passed by Congress, as follows:  NUMBER  OF  EXAMINERS  COMPLIANCE  LOW  NORMAL  HIGH  One 505050 Two 1006020 Three 15070āˆ’10\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { EXAMINERS }\end{array} } & { \text { COMPLIANCE } } \\\hline & \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { One } & 50 & 50 & 50 \\\hline \text { Two } & 100 & 60 & 20 \\\hline \text { Three } & 150 & 70 & - 10 \\\hline\end{array} If she feels the chances of low, medium, and high compliance are 20 percent, 30 percent, and 50 percent respectively, what is her expected value of perfect information?

A) $16,000
B) $26,000
C) $46,000
D) $48,000
E) $50,000
Ų³Ų¤Ų§Ł„
The local operations manager for the Internal Revenue Service must decide whether to hire one, two, or three temporary tax examiners for the upcoming tax season. She estimates that net revenues (in thousands of dollars) will vary with how well taxpayers comply with the new tax code just passed by Congress, as follows:  NUMBER  OF  EXAMINERS  COMPLIANCE  LOW  NORMAL  HIGH  One 505050 Two 1006020 Three 15070āˆ’10\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { EXAMINERS }\end{array} } & { \text { COMPLIANCE } } \\\hline & \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { One } & 50 & 50 & 50 \\\hline \text { Two } & 100 & 60 & 20 \\\hline \text { Three } & 150 & 70 & - 10 \\\hline\end{array} If she feels the chances of low, medium, and high compliance are 20 percent, 30 percent, and 50 percent respectively, what are the expected net revenues for the number of assistants she will decide to hire?

A) $26,000
B) $46,000
C) $48,000
D) $50,000
E) $76,000
Ų³Ų¤Ų§Ł„
The construction manager for Acme Construction, Inc., must decide whether to build single-family homes, apartments, or condominiums. He estimates annual profits (in $000) will vary with the population trend as follows:  Type  POPULATION TREND  Declining  Stable  Growing  Single Family 2009070 Apartments 7017090 Condos āˆ’20100220\begin{array} { | l | l | l | l | } \hline { \text { Type } } & { \text { POPULATION TREND } } \\\hline & \text { Declining } & \text { Stable } & \text { Growing } \\ \hline \text { Single Family } & 200 & 90 & 70 \\\hline \text { Apartments } & 70 & 170 & 90 \\\hline \text { Condos } & - 20 & 100 & 220 \\\hline\end{array} If he uses the maximin criterion, which kind of dwellings will he decide to build?

A) single family
B) apartments
C) condominiums
D) either single family or apartments
E) either apartments or condos
Ų³Ų¤Ų§Ł„
The owner of Tastee Cookies needs to decide whether to lease a small, medium, or large new retail outlet. She estimates that monthly profits will vary with demand for her cookies as follows: SIZEOFDEMAND OUTLET  LOW  HIGH  Small $1,0001,000 Medium 5002,500 Large 03,000\begin{array}{|l|l|l|l|}\hline\text {SIZE}\\\text {OF}&\text {DEMAND}\\\hline \text { OUTLET } & \text { LOW } && \text { HIGH } \\\hline \text { Small } & \$ 1,000 && 1,000 \\\hline \text { Medium } & 500 && 2,500 \\\hline \text { Large } & 0 && 3,000 \\\hline\end{array} If she feels there is a 30 percent chance that demand will be high, what are the expected monthly profits for the outlet she will decide to lease?

A) $1,600
B) $1,100
C) $1,000
D) $900
E) $500
Ų³Ų¤Ų§Ł„
The construction manager for Acme Construction, Inc., must decide whether to build single-family homes, apartments, or condominiums. He estimates annual profits (in $000) will vary with the population trend as follows:  Type  POPULATION TREND  Declining  Stable  Growing  Single Family 2009070 Apartments 7017090 Condos āˆ’20100220\begin{array} { | l | l | l | l | } \hline { \text { Type } } & { \text { POPULATION TREND } } \\\hline & \text { Declining } & \text { Stable } & \text { Growing } \\ \hline \text { Single Family } & 200 & 90 & 70 \\\hline \text { Apartments } & 70 & 170 & 90 \\\hline \text { Condos } & - 20 & 100 & 220 \\\hline\end{array} If he uses the minimax regret criterion, which kind of dwellings will he decide to build?

A) single family
B) apartments
C) condos
D) either single family or apartments
E) either apartments or condos
Ų³Ų¤Ų§Ł„
The local operations manager for the Internal Revenue Service must decide whether to hire one, two, or three temporary tax examiners for the upcoming tax season. She estimates that net revenues (in thousands of dollars) will vary with how well taxpayers comply with the new tax code just passed by Congress, as follows:  NUMBER  OF  EXAMINERS  COMPLIANCE  LOW  NORMAL  HIGH  One 505050 Two 1006020 Three 15070āˆ’10\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { EXAMINERS }\end{array} } & { \text { COMPLIANCE } } \\\hline & \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { One } & 50 & 50 & 50 \\\hline \text { Two } & 100 & 60 & 20 \\\hline \text { Three } & 150 & 70 & - 10 \\\hline\end{array} If she uses the Laplace criterion, how many new examiners will she decide to hire?

A) one
B) two
C) three
D) either one or two
E) either two or three
Ų³Ų¤Ų§Ł„
The owner of Tastee Cookies needs to decide whether to lease a small, medium, or large new retail outlet. She estimates that monthly profits will vary with demand for her cookies as follows: SIZEOFDEMAND OUTLET  LOW  HIGH  Small $1,0001,000 Medium 5002,500 Large 03,000\begin{array}{|l|l|l|l|}\hline\text {SIZE}\\\text {OF}&\text {DEMAND}\\\hline \text { OUTLET } & \text { LOW } && \text { HIGH } \\\hline \text { Small } & \$ 1,000 && 1,000 \\\hline \text { Medium } & 500 && 2,500 \\\hline \text { Large } & 0 && 3,000 \\\hline\end{array} If she uses the Laplace criterion, what size outlet will she decide to lease?

A) small
B) medium
C) large
D) either small or medium
E) either medium or large
Ų³Ų¤Ų§Ł„
The construction manager for Acme Construction, Inc., must decide whether to build single-family homes, apartments, or condominiums. He estimates annual profits (in $000) will vary with the population trend as follows:  Type  POPULATION TREND  Declining  Stable  Growing  Single Family 2009070 Apartments 7017090 Condos āˆ’20100220\begin{array} { | l | l | l | l | } \hline { \text { Type } } & { \text { POPULATION TREND } } \\\hline & \text { Declining } & \text { Stable } & \text { Growing } \\ \hline \text { Single Family } & 200 & 90 & 70 \\\hline \text { Apartments } & 70 & 170 & 90 \\\hline \text { Condos } & - 20 & 100 & 220 \\\hline\end{array} If he feels the chances of declining, stable, and growing population trends are 40 percent, 50 percent, and 10 percent, respectively, which kind of houses will he decide to build?

A) single family
B) apartments
C) condos
D) either single family or apartments
E) either apartments or condos
Ų³Ų¤Ų§Ł„
The local operations manager for the Internal Revenue Service must decide whether to hire one, two, or three temporary tax examiners for the upcoming tax season. She estimates that net revenues (in thousands of dollars) will vary with how well taxpayers comply with the new tax code just passed by Congress, as follows:  NUMBER  OF  EXAMINERS  COMPLIANCE  LOW  NORMAL  HIGH  One 505050 Two 1006020 Three 15070āˆ’10\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { EXAMINERS }\end{array} } & { \text { COMPLIANCE } } \\\hline & \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { One } & 50 & 50 & 50 \\\hline \text { Two } & 100 & 60 & 20 \\\hline \text { Three } & 150 & 70 & - 10 \\\hline\end{array} If she uses the maximin criterion, how many new examiners will she decide to hire?

A) one
B) two
C) three
D) either one or two
E) either two or three
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Deck 5: Extension: Decision Theory
1
Option A has an expected value of $2,000, a minimum payoff of -$4,000, and a maximum payoff of $18,000. Option B has an expected value of $2,200, a minimum payoff of -$1,000, and a maximum payoff of $6,000. Option C has an expected value of $1,900, a minimum payoff of $100, and a maximum payoff of $2,000. In this situation, a risk-averse decision maker would pay __________ for his risk aversion, and a risk-seeking decision maker would pay __________ for his risk seeking.

A) $200; $300
B) $1,100; $5,000
C) $300; $200
D) $2,100; $16,000
E) $400; $200
$300; $200
2
The Laplace criterion treats states of nature as being equally likely.
True
3
In reaching a decision, the alternative with the lowest cost should be ranked number 1.
False
4
The maximin approach involves choosing the alternative that has the "best worst" payoff.
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5
In a decision-making setting, if the manager has to contend with limits on the amount of information he or she can consider, this __________ can lead to a poor decision.

A) bounded rationality
B) suboptimization
C) risk aversion
D) misspecification
E) complexification
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6
Among decision environments, risk implies that certain parameters have probabilistic outcomes.
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7
The maximin approach involves choosing the alternative with the highest payoff.
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8
The maximax approach is a pessimistic strategy.
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9
Suppose a firm has decided to break its departments down into smaller units. While this likely will help with __________ issues, it raises the possibility that poor decisions will result due to __________.

A) economies of scope; suboptimization
B) economies of scale; risk aversion
C) span of control; suboptimization
D) economies of scope; risk aversion
E) economies of scale; economies of scope
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10
A decision maker's worst option has an expected value of $1,000, and her best option has an expected value of $3,000. With perfect information, the expected value would be $5,000. The decision maker has discovered a firm that will, for a fee of $1,000, make her position-risk free. How much better off will her firm be if she takes this firm up on its offer?

A) $5,000
B) $4,000
C) $3,000
D) $2,000
E) $1,000
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11
The value of perfect information is inversely related to losses predicted.
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12
The expected monetary value approach is most appropriate when the decision maker is risk neutral.
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13
A decision maker's worst option has an expected value of $1,000, and her best option has an expected value of $3,000. With perfect information, the expected value would be $5,000. What is the expected value of perfect information?

A) $5,000
B) $4,000
C) $3,000
D) $2,000
E) $1,000
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14
Expected monetary value gives the long-run average payoff if a large number of identical decisions could be made.
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15
A weakness of the maximin approach is that it loses some information.
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16
Among decision environments, uncertainty implies that states of nature have wide-ranging probabilities associated with them.
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17
In decision theory, states of nature refer to possible future conditions.
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18
Bounded rationality refers to the limits imposed on decision making because of costs, human abilities, time, technology, and/or availability of information.
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19
A systemic view of the organization and its operations processes can help minimize the risk of __________ leading to a poor decision.

A) bounded rationality
B) suboptimization
C) risk aversion
D) misspecification
E) complexification
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20
Decision trees, with their predetermined analysis of a situation, are really not useful in making health care decisions since every person is unique.
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21
Which of the following characterizes decision making under uncertainty?

A) Decision makers must rely on probabilities in assessing outcomes.
B) The likelihood of possible future events is unknown.
C) Relevant parameters have known values.
D) Certain parameters have probabilistic outcomes.
E) Lack of knowledge about how risk-averse the decision maker is.
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22
Testing how a problem solution reacts to changes in one or more of the model parameters is called:

A) simulation.
B) sensitivity analysis.
C) priority recognition.
D) analysis of variance.
E) decision analysis.
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23
Sensitivity analysis is required because:

A) payoffs and probabilities are estimates.
B) most decisions will affect employees.
C) expected payoffs are sensitive to the time value of money.
D) it is the second step in the decision model.
E) with the passage of time, small decisions get bigger.
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24
A decision tree is:

A) an algebraic representation of alternatives.
B) a behavioral representation of alternatives.
C) a matrix representation of alternatives.
D) a schematic representation of alternatives.
E) limited to a maximum of 12 branches.
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25
Which phrase best describes the term "bounded rationality"?

A) thinking a problem through clearly before acting
B) taking care not to exhaust limited resources
C) the result of departmentalized decision making
D) limits imposed on decision making by costs, time, and technology
E) the use of extremely structured steps in the decision-making process
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26
A tabular presentation that shows the outcome for each decision alternative under the various possible states of nature is called a:

A) payoff table.
B) feasible region.
C) Laplace table.
D) decision tree.
E) payback period matrix.
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27
Determining the average payoff for each alternative and choosing the alternative with the highest average is the approach called:

A) minimin.
B) maximin.
C) maximax.
D) minimax regret.
E) Laplace.
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28
Determining the worst payoff for each alternative and choosing the alternative with the "best worst" is the approach called:

A) minimin.
B) maximin.
C) maximax.
D) minimax regret.
E) Laplace.
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29
The term "sensitivity analysis" is most closely associated with:

A) maximax.
B) maximin.
C) decision making under risk.
D) minimax regret.
E) Laplace criterion.
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30
Consider the following decision scenario:  State of Nature  High  Low  Buy $80āˆ—0 Rent 7030 Lease 3050\begin{array} { c } { \text { State of Nature } } \\\begin{array} { | l | l | l | } \hline & \text { High } & \text { Low } \\\hline \text { Buy } & \$ 80 ^ { * } & 0 \\\hline \text { Rent } & 70 & 30 \\\hline \text { Lease } & 30 & 50 \\\hline\end{array}\end{array} *PV for profits ($000) The minimax regret strategy would be:

A) buy.
B) lease.
C) rent.
D) high.
E) low.
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31
The difference between expected payoff under certainty and expected payoff under risk is the expected:

A) monetary value.
B) value of perfect information.
C) net present value.
D) rate of return.
E) profit.
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32
The maximin approach to decision making refers to:

A) minimizing the maximum return.
B) maximizing the minimum return.
C) maximizing the minimum expected value.
D) choosing the alternative with the highest payoff.
E) choosing the alternative with the minimum payoff.
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33
The expected monetary value criterion (EMV) is the decision-making approach used with the decision environment of:

A) certainty.
B) risk.
C) uncertainty.
D) aversion.
E) neutrality.
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34
Consider the following decision scenario:  State of Nature  High  Low  Buy $80āˆ—0 Rent 7030 Lease 3050\begin{array} { c } { \text { State of Nature } } \\\begin{array} { | l | l | l | } \hline & \text { High } & \text { Low } \\\hline \text { Buy } & \$ 80 ^ { * } & 0 \\\hline \text { Rent } & 70 & 30 \\\hline \text { Lease } & 30 & 50 \\\hline\end{array}\end{array} *PV for profits ($000) The maximax strategy would be:

A) buy.
B) lease.
C) rent.
D) high.
E) low.
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35
The term "opportunity loss or regret" is most closely associated with:

A) minimax regret.
B) maximax.
C) maximin.
D) expected monetary value.
E) Laplace.
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36
Consider the following decision scenario:  State of Nature  High  Low  Buy $80āˆ—0 Rent 7030 Lease 3050\begin{array} { c } { \text { State of Nature } } \\\begin{array} { | l | l | l | } \hline & \text { High } & \text { Low } \\\hline \text { Buy } & \$ 80 ^ { * } & 0 \\\hline \text { Rent } & 70 & 30 \\\hline \text { Lease } & 30 & 50 \\\hline\end{array}\end{array} *PV for profits ($000) The maximin strategy would be:

A) buy.
B) lease.
C) rent.
D) high.
E) low.
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37
If the minimum expected regret is computed, it indicates to a decision maker the expected:

A) value of perfect information.
B) payoff under certainty.
C) monetary value.
D) payoff under risk.
E) risk-seeking.
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38
The term "suboptimization" is best described as the:

A) result of individual departments making the best decisions for their own areas but hurting other areas.
B) limitations on decision making caused by costs and time.
C) result of failure to adhere to the steps in the decision process.
D) result of ignoring symptoms of the problem.
E) optimization on a micro level that extends to the macro level.
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39
Which of the following is not an approach for decision making under uncertainty?

A) decision trees
B) maximin
C) maximax
D) minimax regret
E) Laplace
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40
Which one of these is not used in decision making under risk?

A) EVPI
B) EMV
C) decision trees
D) minimax regret
E) All are used for risk situations.
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41
The operations manager for a local bus company wants to decide whether he should purchase a small, medium, or large new bus for his company. He estimates that the annual profits (in $000) will vary depending upon whether passenger demand is low, medium, or high, as follows:  Bus  DEMAND  LOW  MEDIUM  HIGH  Small 506070 Medium 408090 Large 2050120\begin{array} { | l | l | l | l | } \hline \text { Bus } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\ \hline \text { Small } & 50 & 60 & 70 \\\hline \text { Medium } & 40 & 80 & 90 \\\hline \text { Large } & 20 & 50 & 120 \\\hline\end{array} If he feels the chances of low, medium, and high demand are 30 percent, 30 percent, and 40 percent respectively, what is his expected value of perfect information?

A) $15,000
B) $61,000
C) $69,000
D) $72,000
E) $87,000
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42
The new owner of a beauty shop is trying to decide whether to hire one, two, or three beauticians. She estimates that profits next year (in thousands of dollars) will vary with demand for her services, and she has estimated demand in three categories, low, medium, and high.  NUMBER  OF  BEAUTICIANS  DEMAND  LOW  MEDIUM  HIGH  One 5075100 Two 0100100 Three āˆ’10070300\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { BEAUTICIANS }\end{array} } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\\hline \text { One } & 50 & 75 & 100 \\\hline \text { Two } & 0 & 100 & 100 \\\hline \text { Three } & - 100 & 70 & 300 \\\hline\end{array} If she feels the chances of low, medium, and high demand are 50 percent, 20 percent, and 30 percent respectively, what are the expected annual profits for the number of beauticians she will decide to hire?

A) $54,000
B) $55,000
C) $70,000
D) $80,000
E) $135,000
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43
Consider the following decision scenario:  State of Nature  Yes  No  Small $10āˆ—30 Medium 2040 Med.-Large 3045 Large 4035 Ex-Large 6020\begin{array} {r} { \text { State of Nature } } \\\begin{array} { | l | l | l | } \hline & \text { Yes } & \text { No } \\\hline \text { Small } & \$ 10 ^ { * } & 30 \\\hline \text { Medium } & 20 & 40 \\\hline \text { Med.-Large } & 30 & 45 \\\hline \text { Large } & 40 & 35 \\\hline \text { Ex-Large } & 60 & 20 \\\hline\end{array}\end{array} *PV for profits ($000) The maximin strategy would be:

A) small.
B) medium.
C) med.-large.
D) large.
E) ex-large.
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44
Consider the following decision scenario:  State of Nature  Yes  No  Small $10āˆ—30 Medium 2040 Med.-Large 3045 Large 4035 Ex-Large 6020\begin{array} {r} { \text { State of Nature } } \\\begin{array} { | l | l | l | } \hline & \text { Yes } & \text { No } \\\hline \text { Small } & \$ 10 ^ { * } & 30 \\\hline \text { Medium } & 20 & 40 \\\hline \text { Med.-Large } & 30 & 45 \\\hline \text { Large } & 40 & 35 \\\hline \text { Ex-Large } & 60 & 20 \\\hline\end{array}\end{array} *PV for profits ($000) The minimax regret strategy would be:

A) small.
B) medium.
C) med.-large.
D) large.
E) ex-large.
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45
Consider the following decision scenario:  State of Nature  High  Med.  Low  A $20āˆ—205 B 253011 C 301213 D 101212 E 5040āˆ’28\begin{array} { c} { \text { State of Nature } } \\\begin{array} { | l | l | l | l | } \hline { } & \text { High } & \text { Med. } & \text { Low } \\\hline \text { A } & \$ 20 ^ { * } & 20 & 5 \\\hline \text { B } & 25 & 30 & 11 \\\hline \text { C } & 30 & 12 & 13 \\\hline \text { D } & 10 & 12 & 12 \\\hline \text { E } & 50 & 40 & - 28 \\\hline\end{array}\end{array} *PV for profits ($000) With equally likely states of nature, the alternative that has the largest expected monetary value is:

A) A.
B) B.
C) C.
D) D.
E) E.
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46
The new owner of a beauty shop is trying to decide whether to hire one, two, or three beauticians. She estimates that profits next year (in thousands of dollars) will vary with demand for her services, and she has estimated demand in three categories, low, medium, and high.  NUMBER  OF  BEAUTICIANS  DEMAND  LOW  MEDIUM  HIGH  One 5075100 Two 0100100 Three āˆ’10070300\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { BEAUTICIANS }\end{array} } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\\hline \text { One } & 50 & 75 & 100 \\\hline \text { Two } & 0 & 100 & 100 \\\hline \text { Three } & - 100 & 70 & 300 \\\hline\end{array} If she uses the maximax criterion, how many beauticians will she decide to hire?

A) one
B) two
C) three
D) either one or two
E) either two or three
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47
Consider the following decision scenario:  State of Nature  High  Med.  Low  A $20āˆ—205 B 253011 C 301213 D 101212 E 5040āˆ’28\begin{array} { c} { \text { State of Nature } } \\\begin{array} { | l | l | l | l | } \hline { } & \text { High } & \text { Med. } & \text { Low } \\\hline \text { A } & \$ 20 ^ { * } & 20 & 5 \\\hline \text { B } & 25 & 30 & 11 \\\hline \text { C } & 30 & 12 & 13 \\\hline \text { D } & 10 & 12 & 12 \\\hline \text { E } & 50 & 40 & - 28 \\\hline\end{array}\end{array} *PV for profits ($000) The maximax strategy would be:

A) A.
B) B.
C) C.
D) D.
E) E.
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48
The operations manager for a local bus company wants to decide whether he should purchase a small, medium, or large new bus for his company. He estimates that the annual profits (in $000) will vary depending upon whether passenger demand is low, medium, or high, as follows:  Bus  DEMAND  LOW  MEDIUM  HIGH  Small 506070 Medium 408090 Large 2050120\begin{array} { | l | l | l | l | } \hline \text { Bus } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\ \hline \text { Small } & 50 & 60 & 70 \\\hline \text { Medium } & 40 & 80 & 90 \\\hline \text { Large } & 20 & 50 & 120 \\\hline\end{array} If he uses the Laplace criterion, which size bus will he decide to purchase?

A) small
B) medium
C) large
D) either small or medium
E) either medium or large
فتح الحزمة
افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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49
The operations manager for a well-drilling company must recommend whether to build a new facility, expand his existing one, or do nothing. He estimates that long-run profits (in $000) will vary with the amount of precipitation (rainfall) as follows:  ALTERNATIVE  PRECIPITATION  LOW  NORMAL  HIGH  Do Nothing āˆ’100100300 Expand 350500200 Build New 7503000\begin{array} { | l | l | l | l | } \hline { \text { ALTERNATIVE } } & { \text { PRECIPITATION } } \\\hline& \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { Do Nothing } & - 100 & 100 & 300 \\\hline \text { Expand } & 350 & 500 & 200 \\\hline \text { Build New } & 750 & 300 & 0 \\\hline\end{array} If he uses the maximax criterion, which alternative will he decide to select?

A) do nothing
B) expand
C) build new
D) either do nothing or expand
E) either expand or build new
فتح الحزمة
افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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50
The new owner of a beauty shop is trying to decide whether to hire one, two, or three beauticians. She estimates that profits next year (in thousands of dollars) will vary with demand for her services, and she has estimated demand in three categories, low, medium, and high.  NUMBER  OF  BEAUTICIANS  DEMAND  LOW  MEDIUM  HIGH  One 5075100 Two 0100100 Three āˆ’10070300\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { BEAUTICIANS }\end{array} } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\\hline \text { One } & 50 & 75 & 100 \\\hline \text { Two } & 0 & 100 & 100 \\\hline \text { Three } & - 100 & 70 & 300 \\\hline\end{array} If she feels the chances of low, medium, and high demand are 50 percent, 20 percent, and 30 percent respectively, what is her expected value of perfect information?

A) $54,000
B) $65,000
C) $70,000
D) $80,000
E) $135,000
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51
Consider the following decision scenario:  State of Nature  Yes  No  Small $10āˆ—30 Medium 2040 Med.-Large 3045 Large 4035 Ex-Large 6020\begin{array} {r} { \text { State of Nature } } \\\begin{array} { | l | l | l | } \hline & \text { Yes } & \text { No } \\\hline \text { Small } & \$ 10 ^ { * } & 30 \\\hline \text { Medium } & 20 & 40 \\\hline \text { Med.-Large } & 30 & 45 \\\hline \text { Large } & 40 & 35 \\\hline \text { Ex-Large } & 60 & 20 \\\hline\end{array}\end{array} *PV for profits ($000) The maximax strategy would be:

A) small.
B) medium.
C) med.-large.
D) large.
E) ex-large.
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افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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52
Consider the following decision scenario:  State of Nature  High  Low  Buy $80āˆ—0 Rent 7030 Lease 3050\begin{array} { c } { \text { State of Nature } } \\\begin{array} { | l | l | l | } \hline & \text { High } & \text { Low } \\\hline \text { Buy } & \$ 80 ^ { * } & 0 \\\hline \text { Rent } & 70 & 30 \\\hline \text { Lease } & 30 & 50 \\\hline\end{array}\end{array} *PV for profits ($000) If P(high) is .60, the choice for maximum expected value would be:

A) buy.
B) lease.
C) rent.
D) high.
E) low.
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افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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53
The operations manager for a local bus company wants to decide whether he should purchase a small, medium, or large new bus for his company. He estimates that the annual profits (in $000) will vary depending upon whether passenger demand is low, medium, or high, as follows:  Bus  DEMAND  LOW  MEDIUM  HIGH  Small 506070 Medium 408090 Large 2050120\begin{array} { | l | l | l | l | } \hline \text { Bus } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\ \hline \text { Small } & 50 & 60 & 70 \\\hline \text { Medium } & 40 & 80 & 90 \\\hline \text { Large } & 20 & 50 & 120 \\\hline\end{array} If he uses the maximin criterion, which size bus will he decide to purchase?

A) small
B) medium
C) large
D) either small or medium
E) either medium or large
فتح الحزمة
افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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54
Consider the following decision scenario:  State of Nature  Yes  No  Small $10āˆ—30 Medium 2040 Med.-Large 3045 Large 4035 Ex-Large 6020\begin{array} {r} { \text { State of Nature } } \\\begin{array} { | l | l | l | } \hline & \text { Yes } & \text { No } \\\hline \text { Small } & \$ 10 ^ { * } & 30 \\\hline \text { Medium } & 20 & 40 \\\hline \text { Med.-Large } & 30 & 45 \\\hline \text { Large } & 40 & 35 \\\hline \text { Ex-Large } & 60 & 20 \\\hline\end{array}\end{array} *PV for profits ($000) If yes and no are equally likely, which alternative has the largest expected monetary value?

A) small.
B) medium.
C) med.-large.
D) large.
E) ex-large.
فتح الحزمة
افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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55
Consider the following decision scenario:  State of Nature  High  Med.  Low  A $20āˆ—205 B 253011 C 301213 D 101212 E 5040āˆ’28\begin{array} { c} { \text { State of Nature } } \\\begin{array} { | l | l | l | l | } \hline { } & \text { High } & \text { Med. } & \text { Low } \\\hline \text { A } & \$ 20 ^ { * } & 20 & 5 \\\hline \text { B } & 25 & 30 & 11 \\\hline \text { C } & 30 & 12 & 13 \\\hline \text { D } & 10 & 12 & 12 \\\hline \text { E } & 50 & 40 & - 28 \\\hline\end{array}\end{array} *PV for profits ($000) The maximin strategy would be:

A) A.
B) B.
C) C.
D) D.
E) E.
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افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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56
The operations manager for a local bus company wants to decide whether he should purchase a small, medium, or large new bus for his company. He estimates that the annual profits (in $000) will vary depending upon whether passenger demand is low, medium, or high, as follows:  Bus  DEMAND  LOW  MEDIUM  HIGH  Small 506070 Medium 408090 Large 2050120\begin{array} { | l | l | l | l | } \hline \text { Bus } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\ \hline \text { Small } & 50 & 60 & 70 \\\hline \text { Medium } & 40 & 80 & 90 \\\hline \text { Large } & 20 & 50 & 120 \\\hline\end{array} If he uses the minimax regret criterion, which size bus will he decide to purchase?

A) small
B) medium
C) large
D) either small or medium
E) either medium or large
فتح الحزمة
افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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k this deck
57
Consider the following decision scenario:  State of Nature  High  Med.  Low  A $20āˆ—205 B 253011 C 301213 D 101212 E 5040āˆ’28\begin{array} { c} { \text { State of Nature } } \\\begin{array} { | l | l | l | l | } \hline { } & \text { High } & \text { Med. } & \text { Low } \\\hline \text { A } & \$ 20 ^ { * } & 20 & 5 \\\hline \text { B } & 25 & 30 & 11 \\\hline \text { C } & 30 & 12 & 13 \\\hline \text { D } & 10 & 12 & 12 \\\hline \text { E } & 50 & 40 & - 28 \\\hline\end{array}\end{array} *PV for profits ($000) The minimax regret strategy would be:

A) A.
B) B.
C) C.
D) D.
E) E.
فتح الحزمة
افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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58
The new owner of a beauty shop is trying to decide whether to hire one, two, or three beauticians. She estimates that profits next year (in thousands of dollars) will vary with demand for her services, and she has estimated demand in three categories, low, medium, and high.  NUMBER  OF  BEAUTICIANS  DEMAND  LOW  MEDIUM  HIGH  One 5075100 Two 0100100 Three āˆ’10070300\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { BEAUTICIANS }\end{array} } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\\hline \text { One } & 50 & 75 & 100 \\\hline \text { Two } & 0 & 100 & 100 \\\hline \text { Three } & - 100 & 70 & 300 \\\hline\end{array} If she uses the minimax regret criterion, how many beauticians will she decide to hire?

A) one
B) two
C) three
D) either one or two
E) either two or three
فتح الحزمة
افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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k this deck
59
The new owner of a beauty shop is trying to decide whether to hire one, two, or three beauticians. She estimates that profits next year (in thousands of dollars) will vary with demand for her services, and she has estimated demand in three categories, low, medium, and high.  NUMBER  OF  BEAUTICIANS  DEMAND  LOW  MEDIUM  HIGH  One 5075100 Two 0100100 Three āˆ’10070300\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { BEAUTICIANS }\end{array} } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\\hline \text { One } & 50 & 75 & 100 \\\hline \text { Two } & 0 & 100 & 100 \\\hline \text { Three } & - 100 & 70 & 300 \\\hline\end{array} If she uses the Laplace criterion, how many beauticians will she decide to hire?

A) one
B) two
C) three
D) either one or two
E) either two or three
فتح الحزمة
افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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60
The operations manager for a local bus company wants to decide whether he should purchase a small, medium, or large new bus for his company. He estimates that the annual profits (in $000) will vary depending upon whether passenger demand is low, medium, or high, as follows:  Bus  DEMAND  LOW  MEDIUM  HIGH  Small 506070 Medium 408090 Large 2050120\begin{array} { | l | l | l | l | } \hline \text { Bus } & { \text { DEMAND } } \\\hline & \text { LOW } & \text { MEDIUM } & \text { HIGH } \\ \hline \text { Small } & 50 & 60 & 70 \\\hline \text { Medium } & 40 & 80 & 90 \\\hline \text { Large } & 20 & 50 & 120 \\\hline\end{array} If he feels the chances of low, medium, and high demand are 30 percent, 30 percent, and 40 percent respectively, what is the expected annual profit for the bus that he will decide to purchase?

A) $15,000
B) $61,000
C) $69,000
D) $72,000
E) $87,000
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61
The local operations manager for the Internal Revenue Service must decide whether to hire one, two, or three temporary tax examiners for the upcoming tax season. She estimates that net revenues (in thousands of dollars) will vary with how well taxpayers comply with the new tax code just passed by Congress, as follows:  NUMBER  OF  EXAMINERS  COMPLIANCE  LOW  NORMAL  HIGH  One 505050 Two 1006020 Three 15070āˆ’10\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { EXAMINERS }\end{array} } & { \text { COMPLIANCE } } \\\hline & \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { One } & 50 & 50 & 50 \\\hline \text { Two } & 100 & 60 & 20 \\\hline \text { Three } & 150 & 70 & - 10 \\\hline\end{array} If she uses the minimax regret criterion, how many new examiners will she decide to hire?

A) one
B) two
C) three
D) either one or two
E) either two or three
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افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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62
The operations manager for a well-drilling company must recommend whether to build a new facility, expand his existing one, or do nothing. He estimates that long-run profits (in $000) will vary with the amount of precipitation (rainfall) as follows:  ALTERNATIVE  PRECIPITATION  LOW  NORMAL  HIGH  Do Nothing āˆ’100100300 Expand 350500200 Build New 7503000\begin{array} { | l | l | l | l | } \hline { \text { ALTERNATIVE } } & { \text { PRECIPITATION } } \\\hline& \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { Do Nothing } & - 100 & 100 & 300 \\\hline \text { Expand } & 350 & 500 & 200 \\\hline \text { Build New } & 750 & 300 & 0 \\\hline\end{array} If he uses the Laplace criterion, which alternative will he decide to select?

A) do nothing
B) expand
C) build new
D) either do nothing or expand
E) either expand or build new
فتح الحزمة
افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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63
The owner of Tastee Cookies needs to decide whether to lease a small, medium, or large new retail outlet. She estimates that monthly profits will vary with demand for her cookies as follows: SIZEOFDEMAND OUTLET  LOW  HIGH  Small $1,0001,000 Medium 5002,500 Large 03,000\begin{array}{|l|l|l|l|}\hline\text {SIZE}\\\text {OF}&\text {DEMAND}\\\hline \text { OUTLET } & \text { LOW } && \text { HIGH } \\\hline \text { Small } & \$ 1,000 && 1,000 \\\hline \text { Medium } & 500 && 2,500 \\\hline \text { Large } & 0 && 3,000 \\\hline\end{array} If she uses the maximin criterion, what size outlet will she decide to lease?

A) small
B) medium
C) large
D) either small or medium
E) either medium or large
فتح الحزمة
افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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64
The construction manager for Acme Construction, Inc., must decide whether to build single-family homes, apartments, or condominiums. He estimates annual profits (in $000) will vary with the population trend as follows:  Type  POPULATION TREND  Declining  Stable  Growing  Single Family 2009070 Apartments 7017090 Condos āˆ’20100220\begin{array} { | l | l | l | l | } \hline { \text { Type } } & { \text { POPULATION TREND } } \\\hline & \text { Declining } & \text { Stable } & \text { Growing } \\ \hline \text { Single Family } & 200 & 90 & 70 \\\hline \text { Apartments } & 70 & 170 & 90 \\\hline \text { Condos } & - 20 & 100 & 220 \\\hline\end{array} If he uses the Laplace criterion, which kind of dwellings will he decide to build?

A) single family
B) apartments
C) condos
D) either single family or apartments
E) either apartments or condos
فتح الحزمة
افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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65
The operations manager for a well-drilling company must recommend whether to build a new facility, expand his existing one, or do nothing. He estimates that long-run profits (in $000) will vary with the amount of precipitation (rainfall) as follows:  ALTERNATIVE  PRECIPITATION  LOW  NORMAL  HIGH  Do Nothing āˆ’100100300 Expand 350500200 Build New 7503000\begin{array} { | l | l | l | l | } \hline { \text { ALTERNATIVE } } & { \text { PRECIPITATION } } \\\hline& \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { Do Nothing } & - 100 & 100 & 300 \\\hline \text { Expand } & 350 & 500 & 200 \\\hline \text { Build New } & 750 & 300 & 0 \\\hline\end{array} If he uses the minimax regret criterion, which alternative will he decide to select?

A) do nothing
B) expand
C) build new
D) either do nothing or expand
E) either expand or build new
فتح الحزمة
افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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k this deck
66
The construction manager for Acme Construction, Inc., must decide whether to build single-family homes, apartments, or condominiums. He estimates annual profits (in $000) will vary with the population trend as follows:  Type  POPULATION TREND  Declining  Stable  Growing  Single Family 2009070 Apartments 7017090 Condos āˆ’20100220\begin{array} { | l | l | l | l | } \hline { \text { Type } } & { \text { POPULATION TREND } } \\\hline & \text { Declining } & \text { Stable } & \text { Growing } \\ \hline \text { Single Family } & 200 & 90 & 70 \\\hline \text { Apartments } & 70 & 170 & 90 \\\hline \text { Condos } & - 20 & 100 & 220 \\\hline\end{array} If he feels the chances of declining, stable, and growing population trends are 40 percent, 50 percent, and 10 percent, respectively, what is his expected value of perfect information?

A) $187,000
B) $132,000
C) $123,000
D) $65,000
E) $55,000
فتح الحزمة
افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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k this deck
67
The operations manager for a well-drilling company must recommend whether to build a new facility, expand his existing one, or do nothing. He estimates that long-run profits (in $000) will vary with the amount of precipitation (rainfall) as follows:  ALTERNATIVE  PRECIPITATION  LOW  NORMAL  HIGH  Do Nothing āˆ’100100300 Expand 350500200 Build New 7503000\begin{array} { | l | l | l | l | } \hline { \text { ALTERNATIVE } } & { \text { PRECIPITATION } } \\\hline& \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { Do Nothing } & - 100 & 100 & 300 \\\hline \text { Expand } & 350 & 500 & 200 \\\hline \text { Build New } & 750 & 300 & 0 \\\hline\end{array} If he feels the chances of low, normal, and high precipitation are 30 percent, 20 percent, and 50 percent respectively, what is his expected value of perfect information?

A) $140,000
B) $170,000
C) $285,000
D) $305,000
E) $475,000
فتح الحزمة
افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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68
The owner of Tastee Cookies needs to decide whether to lease a small, medium, or large new retail outlet. She estimates that monthly profits will vary with demand for her cookies as follows: SIZEOFDEMAND OUTLET  LOW  HIGH  Small $1,0001,000 Medium 5002,500 Large 03,000\begin{array}{|l|l|l|l|}\hline\text {SIZE}\\\text {OF}&\text {DEMAND}\\\hline \text { OUTLET } & \text { LOW } && \text { HIGH } \\\hline \text { Small } & \$ 1,000 && 1,000 \\\hline \text { Medium } & 500 && 2,500 \\\hline \text { Large } & 0 && 3,000 \\\hline\end{array} If she uses the maximax criterion, what size outlet will she decide to lease?

A) small
B) medium
C) large
D) either small or medium
E) either medium or large
فتح الحزمة
افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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69
The owner of Tastee Cookies needs to decide whether to lease a small, medium, or large new retail outlet. She estimates that monthly profits will vary with demand for her cookies as follows: SIZEOFDEMAND OUTLET  LOW  HIGH  Small $1,0001,000 Medium 5002,500 Large 03,000\begin{array}{|l|l|l|l|}\hline\text {SIZE}\\\text {OF}&\text {DEMAND}\\\hline \text { OUTLET } & \text { LOW } && \text { HIGH } \\\hline \text { Small } & \$ 1,000 && 1,000 \\\hline \text { Medium } & 500 && 2,500 \\\hline \text { Large } & 0 && 3,000 \\\hline\end{array} If she feels there is a 30 percent chance that demand will be high, what is her expected payoff under certainty?

A) $1,600
B) $1,100
C) $1,000
D) $900
E) $500
فتح الحزمة
افتح القفل Ł„Ł„ŁˆŲµŁˆŁ„ البطاقات البالغ عددها 123 في هذه Ų§Ł„Ł…Ų¬Ł…ŁˆŲ¹Ų©.
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70
The owner of Tastee Cookies needs to decide whether to lease a small, medium, or large new retail outlet. She estimates that monthly profits will vary with demand for her cookies as follows: SIZEOFDEMAND OUTLET  LOW  HIGH  Small $1,0001,000 Medium 5002,500 Large 03,000\begin{array}{|l|l|l|l|}\hline\text {SIZE}\\\text {OF}&\text {DEMAND}\\\hline \text { OUTLET } & \text { LOW } && \text { HIGH } \\\hline \text { Small } & \$ 1,000 && 1,000 \\\hline \text { Medium } & 500 && 2,500 \\\hline \text { Large } & 0 && 3,000 \\\hline\end{array} If she uses the minimax regret criterion, what size outlet will she decide to lease?

A) small
B) medium
C) large
D) either small or medium
E) either medium or large
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71
The operations manager for a well-drilling company must recommend whether to build a new facility, expand his existing one, or do nothing. He estimates that long-run profits (in $000) will vary with the amount of precipitation (rainfall) as follows:  ALTERNATIVE  PRECIPITATION  LOW  NORMAL  HIGH  Do Nothing āˆ’100100300 Expand 350500200 Build New 7503000\begin{array} { | l | l | l | l | } \hline { \text { ALTERNATIVE } } & { \text { PRECIPITATION } } \\\hline& \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { Do Nothing } & - 100 & 100 & 300 \\\hline \text { Expand } & 350 & 500 & 200 \\\hline \text { Build New } & 750 & 300 & 0 \\\hline\end{array} If he feels the chances of low, normal, and high precipitation are 30 percent, 20 percent, and 50 percent respectively, what are expected long-run profits for the alternative he will select?

A) $140,000
B) $170,000
C) $285,000
D) $305,000
E) $475,000
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72
The local operations manager for the Internal Revenue Service must decide whether to hire one, two, or three temporary tax examiners for the upcoming tax season. She estimates that net revenues (in thousands of dollars) will vary with how well taxpayers comply with the new tax code just passed by Congress, as follows:  NUMBER  OF  EXAMINERS  COMPLIANCE  LOW  NORMAL  HIGH  One 505050 Two 1006020 Three 15070āˆ’10\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { EXAMINERS }\end{array} } & { \text { COMPLIANCE } } \\\hline & \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { One } & 50 & 50 & 50 \\\hline \text { Two } & 100 & 60 & 20 \\\hline \text { Three } & 150 & 70 & - 10 \\\hline\end{array} If she feels the chances of low, medium, and high compliance are 20 percent, 30 percent, and 50 percent respectively, what is her expected value of perfect information?

A) $16,000
B) $26,000
C) $46,000
D) $48,000
E) $50,000
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73
The local operations manager for the Internal Revenue Service must decide whether to hire one, two, or three temporary tax examiners for the upcoming tax season. She estimates that net revenues (in thousands of dollars) will vary with how well taxpayers comply with the new tax code just passed by Congress, as follows:  NUMBER  OF  EXAMINERS  COMPLIANCE  LOW  NORMAL  HIGH  One 505050 Two 1006020 Three 15070āˆ’10\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { EXAMINERS }\end{array} } & { \text { COMPLIANCE } } \\\hline & \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { One } & 50 & 50 & 50 \\\hline \text { Two } & 100 & 60 & 20 \\\hline \text { Three } & 150 & 70 & - 10 \\\hline\end{array} If she feels the chances of low, medium, and high compliance are 20 percent, 30 percent, and 50 percent respectively, what are the expected net revenues for the number of assistants she will decide to hire?

A) $26,000
B) $46,000
C) $48,000
D) $50,000
E) $76,000
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74
The construction manager for Acme Construction, Inc., must decide whether to build single-family homes, apartments, or condominiums. He estimates annual profits (in $000) will vary with the population trend as follows:  Type  POPULATION TREND  Declining  Stable  Growing  Single Family 2009070 Apartments 7017090 Condos āˆ’20100220\begin{array} { | l | l | l | l | } \hline { \text { Type } } & { \text { POPULATION TREND } } \\\hline & \text { Declining } & \text { Stable } & \text { Growing } \\ \hline \text { Single Family } & 200 & 90 & 70 \\\hline \text { Apartments } & 70 & 170 & 90 \\\hline \text { Condos } & - 20 & 100 & 220 \\\hline\end{array} If he uses the maximin criterion, which kind of dwellings will he decide to build?

A) single family
B) apartments
C) condominiums
D) either single family or apartments
E) either apartments or condos
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75
The owner of Tastee Cookies needs to decide whether to lease a small, medium, or large new retail outlet. She estimates that monthly profits will vary with demand for her cookies as follows: SIZEOFDEMAND OUTLET  LOW  HIGH  Small $1,0001,000 Medium 5002,500 Large 03,000\begin{array}{|l|l|l|l|}\hline\text {SIZE}\\\text {OF}&\text {DEMAND}\\\hline \text { OUTLET } & \text { LOW } && \text { HIGH } \\\hline \text { Small } & \$ 1,000 && 1,000 \\\hline \text { Medium } & 500 && 2,500 \\\hline \text { Large } & 0 && 3,000 \\\hline\end{array} If she feels there is a 30 percent chance that demand will be high, what are the expected monthly profits for the outlet she will decide to lease?

A) $1,600
B) $1,100
C) $1,000
D) $900
E) $500
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76
The construction manager for Acme Construction, Inc., must decide whether to build single-family homes, apartments, or condominiums. He estimates annual profits (in $000) will vary with the population trend as follows:  Type  POPULATION TREND  Declining  Stable  Growing  Single Family 2009070 Apartments 7017090 Condos āˆ’20100220\begin{array} { | l | l | l | l | } \hline { \text { Type } } & { \text { POPULATION TREND } } \\\hline & \text { Declining } & \text { Stable } & \text { Growing } \\ \hline \text { Single Family } & 200 & 90 & 70 \\\hline \text { Apartments } & 70 & 170 & 90 \\\hline \text { Condos } & - 20 & 100 & 220 \\\hline\end{array} If he uses the minimax regret criterion, which kind of dwellings will he decide to build?

A) single family
B) apartments
C) condos
D) either single family or apartments
E) either apartments or condos
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77
The local operations manager for the Internal Revenue Service must decide whether to hire one, two, or three temporary tax examiners for the upcoming tax season. She estimates that net revenues (in thousands of dollars) will vary with how well taxpayers comply with the new tax code just passed by Congress, as follows:  NUMBER  OF  EXAMINERS  COMPLIANCE  LOW  NORMAL  HIGH  One 505050 Two 1006020 Three 15070āˆ’10\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { EXAMINERS }\end{array} } & { \text { COMPLIANCE } } \\\hline & \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { One } & 50 & 50 & 50 \\\hline \text { Two } & 100 & 60 & 20 \\\hline \text { Three } & 150 & 70 & - 10 \\\hline\end{array} If she uses the Laplace criterion, how many new examiners will she decide to hire?

A) one
B) two
C) three
D) either one or two
E) either two or three
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78
The owner of Tastee Cookies needs to decide whether to lease a small, medium, or large new retail outlet. She estimates that monthly profits will vary with demand for her cookies as follows: SIZEOFDEMAND OUTLET  LOW  HIGH  Small $1,0001,000 Medium 5002,500 Large 03,000\begin{array}{|l|l|l|l|}\hline\text {SIZE}\\\text {OF}&\text {DEMAND}\\\hline \text { OUTLET } & \text { LOW } && \text { HIGH } \\\hline \text { Small } & \$ 1,000 && 1,000 \\\hline \text { Medium } & 500 && 2,500 \\\hline \text { Large } & 0 && 3,000 \\\hline\end{array} If she uses the Laplace criterion, what size outlet will she decide to lease?

A) small
B) medium
C) large
D) either small or medium
E) either medium or large
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79
The construction manager for Acme Construction, Inc., must decide whether to build single-family homes, apartments, or condominiums. He estimates annual profits (in $000) will vary with the population trend as follows:  Type  POPULATION TREND  Declining  Stable  Growing  Single Family 2009070 Apartments 7017090 Condos āˆ’20100220\begin{array} { | l | l | l | l | } \hline { \text { Type } } & { \text { POPULATION TREND } } \\\hline & \text { Declining } & \text { Stable } & \text { Growing } \\ \hline \text { Single Family } & 200 & 90 & 70 \\\hline \text { Apartments } & 70 & 170 & 90 \\\hline \text { Condos } & - 20 & 100 & 220 \\\hline\end{array} If he feels the chances of declining, stable, and growing population trends are 40 percent, 50 percent, and 10 percent, respectively, which kind of houses will he decide to build?

A) single family
B) apartments
C) condos
D) either single family or apartments
E) either apartments or condos
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80
The local operations manager for the Internal Revenue Service must decide whether to hire one, two, or three temporary tax examiners for the upcoming tax season. She estimates that net revenues (in thousands of dollars) will vary with how well taxpayers comply with the new tax code just passed by Congress, as follows:  NUMBER  OF  EXAMINERS  COMPLIANCE  LOW  NORMAL  HIGH  One 505050 Two 1006020 Three 15070āˆ’10\begin{array} { | l | l | l | l | } \hline { \begin{array} { l } \text { NUMBER } \\\text { OF } \\\text { EXAMINERS }\end{array} } & { \text { COMPLIANCE } } \\\hline & \text { LOW } & \text { NORMAL } & \text { HIGH } \\\hline \text { One } & 50 & 50 & 50 \\\hline \text { Two } & 100 & 60 & 20 \\\hline \text { Three } & 150 & 70 & - 10 \\\hline\end{array} If she uses the maximin criterion, how many new examiners will she decide to hire?

A) one
B) two
C) three
D) either one or two
E) either two or three
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