Deck 19: Decision Theory
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Deck 19: Decision Theory
1
The maximin criterion is preferred by optimistic decision makers.
False
2
The maximin criterion finds the best possible payoff for each alternative and then chooses the alternative that yields the maximum payoff.
False
3
Maximin is a criterion used when making decisions under certainty.
False
4
Maximax is a criterion used when making decisions under uncertainty.
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5
When making a decision in an environment of ________, the decision maker knows which of the states of nature will actually occur.
A) certainty
B) uncertainty
C) risk
D) optimism
A) certainty
B) uncertainty
C) risk
D) optimism
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6
When making a decision in an environment of ________, the likelihood of each state of nature can be estimated.
A) certainty
B) uncertainty
C) risk
D) alternatives
A) certainty
B) uncertainty
C) risk
D) alternatives
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7
The ________ is the difference between the expected payoff that would be realized if the best alternative action were selected if we knew which state of nature would occur and the expected payoff under risk.
A) maximax criterion
B) maximin criterion
C) expected utility
D) expected value of perfect information
E) expected value of sample information
A) maximax criterion
B) maximin criterion
C) expected utility
D) expected value of perfect information
E) expected value of sample information
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8
The maximax criterion is preferred by pessimistic decision makers.
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9
A decision maker's expected utility is based upon his/her attitude toward risk.
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10
The expected monetary value criterion is best used when a large number of similar decisions will be made.
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11
The maximax criterion finds the worst possible payoff for each alternative and then chooses the alternative that yields the maximum of those worst possible payoffs.
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12
If the decision maker has no knowledge about the likelihood of any of the states of nature occurring, then it can be stated that the decision maker is operating in an environment of
A) certainty.
B) uncertainty.
C) risk.
D) optimism.
A) certainty.
B) uncertainty.
C) risk.
D) optimism.
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13
The maximax criterion finds the best possible payoff for each alternative and then chooses the alternative that yields the maximum (best) possible payoff.
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14
A tire manufacturer needs to choose the production level for the coming month (high vs. low). The level of production largely depends on the level of demand. For this situation, the level of demand (high, medium, low) is the state of nature.
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15
Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt. The level of demand affects the success of both strategies. The states of nature (SI) represent the levels of demand for the company products. S1, S2, and S3 characterize high, medium, and low demand, respectively. The payoff values are in thousands of dollars.
The best alternative (course of action) for the EKA manufacturing company, using the maximax criterion, is alternative 1.

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16
In utility analysis, a utility curve that shows a rapid increase in utility for initial amounts of money followed by a gradual leveling off for larger amounts of money is appropriate for a risk-seeking decision maker.
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17
When we use the expected monetary value criterion, the expected payoff equals the actual payoff that will be realized.
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18
A set of potential future conditions that will have an effect on the results of a decision is called the states of nature.
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19
Maximin is a criterion used when making decisions under ________.
A) uncertainty
B) certainty
C) risk
D) alternatives
A) uncertainty
B) certainty
C) risk
D) alternatives
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20
When the maximin criterion is used, the decision maker assumes that for any alternative action, the state of nature with the maximum payoff will take place.
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21
The expected value criterion is used for decision making under ________.
A) certainty
B) uncertainty
C) risk
D) alternatives
A) certainty
B) uncertainty
C) risk
D) alternatives
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22
The utility curve given below represents the preferences of a ________ decision maker. 
A) risk-averse
B) risk-neutral
C) risk-seeking
D) None of the other choices is correct.

A) risk-averse
B) risk-neutral
C) risk-seeking
D) None of the other choices is correct.
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23
In utility analysis, a utility curve that shows a rapid increase in utility for initial amounts of money followed by a gradual leveling off for a larger amount of money is appropriate for a risk ________ decision maker.
A) -seeking
B) -averse
C) -neutral
D) None of the other choices is correct.
A) -seeking
B) -averse
C) -neutral
D) None of the other choices is correct.
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24
An automobile insurance company is in the process of reviewing its policies. The company is considering increasing the premium charged to drivers under 25. According to company records, 35 percent of the insured drivers are under the age of 25. The company records also show that 280 of the 700 insured drivers under the age of 25 have been involved in at least one automobile accident. On the other hand, only 130 of the 1,300 insured drivers 25 years or older have been involved in at least one automobile accident. An accident has just been reported. What is the probability that the insured driver is under the age of 25?
A) 35%
B) 20.5%
C) 14%
D) 68.3%
E) 40%
A) 35%
B) 20.5%
C) 14%
D) 68.3%
E) 40%
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25
A pharmaceutical company manufacturing flu test kits wants to determine the probability of a teenager not having the flu when the test results indicate that they do (false positive). It is estimated that the probability of a positive test for flu among potential users of the kit is 10 percent. According to the company laboratory test results, 1 out of 100 noninfected teenagers tested as having the flu (false positive). On the other hand, 1 out of 200 teenagers with the flu tested as not having the active virus (false negative). A teenager has just used the flu test kit manufactured by the company, and the results showed she has the flu. What is the probability that she does not have the flu?
A) 90%
B) .9%
C) 8.3%
D) 91.7%
E) 10.85%
A) 90%
B) .9%
C) 8.3%
D) 91.7%
E) 10.85%
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26
Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt. The level of demand affects the success of both strategies. The states of nature (SI) represent the levels of demand for the company products. S1, S2, and S3 characterize high, medium, and low demand, with probabilities of .3, .6, and .1, respectively. The payoff values are in thousands of dollars.
The management believes that weather conditions significantly affect the level of demand. 48 monthly sales reports are randomly selected. These monthly sales reports show 15 months with high demand, 28 months with medium demand, and 5 months with low demand. 12 of the 15 months with high demand had favorable weather conditions. 14 of the 28 months with medium demand had favorable weather conditions. Only 1 of the 5 months with low demand had favorable weather conditions. The estimated probabilities of poor weather conditions given different levels of demand are presented below.
P(Poor |High) = .2, P(Poor |Medium) = .5, P(Poor |Low) = .8
What is the probability of high demand given that the weather conditions are poor?
A) .06
B) .44
C) .1429
D) .12
E) .1818

P(Poor |High) = .2, P(Poor |Medium) = .5, P(Poor |Low) = .8
What is the probability of high demand given that the weather conditions are poor?
A) .06
B) .44
C) .1429
D) .12
E) .1818
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27
The ________ criterion is attractive to those decision makers who exhibit a neutral approach toward decision choices involving risk.
A) expected utility
B) expected value
C) maximin
D) maximax
E) decision theory
A) expected utility
B) expected value
C) maximin
D) maximax
E) decision theory
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28
The utility curve given below represents the preferences of a ________ decision maker. 
A) risk-averse
B) risk-neutral
C) risk-seeking
D) None of the other choices is correct.

A) risk-averse
B) risk-neutral
C) risk-seeking
D) None of the other choices is correct.
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29
When we assess the worth of sample information in a decision-making problem, we are performing a
A) prior analysis.
B) preposterior analysis.
C) posterior analysis.
D) payoff analysis.
E) utility analysis.
A) prior analysis.
B) preposterior analysis.
C) posterior analysis.
D) payoff analysis.
E) utility analysis.
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30
The ________ is the difference between the expected payoff of sampling and the expected payoff based on expected monetary criterion and prior probabilities.
A) maximax criterion
B) maximin criterion
C) expected utility
D) expected value of perfect information
E) expected value of sample information
A) maximax criterion
B) maximin criterion
C) expected utility
D) expected value of perfect information
E) expected value of sample information
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31
A person's utility is determined by the preferences he/she exhibits for decision choices involving ________.
A) certainty
B) uncertainty
C) risk
D) Bayes' Theorem
A) certainty
B) uncertainty
C) risk
D) Bayes' Theorem
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32
The expected net gain of sampling equals the expected ________ minus the cost of sampling.
A) payoff of sampling
B) payoff of no sampling
C) value of sample information
D) value of perfect information
E) utility
A) payoff of sampling
B) payoff of no sampling
C) value of sample information
D) value of perfect information
E) utility
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33
Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt. The level of demand affects the success of both strategies. The states of nature (SI) represent the levels of demand for the company products. S1, S2, and S3 characterize high, medium, and low demand, with probabilities of .3, .6, and .1, respectively. The payoff values are in thousands of dollars.
The management believes that weather conditions significantly affect the level of demand. 48 monthly sales reports are randomly selected. These monthly sales reports show 15 months with high demand, 28 months with medium demand, and 5 months with low demand. 12 of the 15 months with high demand had favorable weather conditions. 14 of the 28 months with medium demand had favorable weather conditions. Only 1 of the 5 months with low demand had favorable weather conditions. What is the probability that weather conditions are poor, given that the demand is high?
A) .2
B) .5
C) .8
D) .25
E) .75

A) .2
B) .5
C) .8
D) .25
E) .75
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34
The utility curve given below represents the preferences of a ________ decision maker. 
A) risk-averse
B) risk-neutral
C) risk-seeking
D) None of the other choices is correct.

A) risk-averse
B) risk-neutral
C) risk-seeking
D) None of the other choices is correct.
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35
Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt. The level of demand affects the success of both strategies. The states of nature (SI) represent the levels of demand for the company products. S1, S2, and S3 characterize high, medium, and low demand, with probabilities of .3, .6, and .1, respectively. The payoff values are in thousands of dollars.
The management believes that the weather conditions significantly affect the level of demand. 48 monthly sales reports are randomly selected. These monthly sales reports show 15 months with high demand, 28 months with medium demand, and 5 months with low demand. 12 of the 15 months with high demand had favorable weather conditions. 14 of the 28 months with medium demand had favorable weather conditions. Only 1 of the 5 months with low demand had favorable weather conditions. What is the maximum amount that the company would be willing to pay for perfect information?
A) $95,000
B) $112,000
C) $7,000
D) $24,000
E) $17,000

A) $95,000
B) $112,000
C) $7,000
D) $24,000
E) $17,000
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36
Maximax is a criterion used when making decisions under ________.
A) certainty
B) uncertainty
C) risk
D) alternatives
A) certainty
B) uncertainty
C) risk
D) alternatives
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37
Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt. The level of demand affects the success of both strategies. The states of nature (SI) represent the levels of demand for the company products. S1, S2, and S3 characterize high, medium, and low demand, with probabilities of .3, .6, and .1, respectively. The payoff values are in thousands of dollars.
Find the expected monetary value for each of the alternatives and determine the best alternative (course of action) for the EKA manufacturing company using the expected monetary value criterion.
A) EMV1 = $98,000, EMV2 = $95,000, choose strategy 1
B) EMV1 = $88,000, EMV2 = $95,000, choose strategy 2
C) EMV1 = $88,000, EMV2 = $85,000, choose strategy 1
D) EMV1 = $66,667, EMV2 = $76,667, choose strategy 2
E) EMV1 = $120,000, EMV2 = $110,000, choose strategy 1

A) EMV1 = $98,000, EMV2 = $95,000, choose strategy 1
B) EMV1 = $88,000, EMV2 = $95,000, choose strategy 2
C) EMV1 = $88,000, EMV2 = $85,000, choose strategy 1
D) EMV1 = $66,667, EMV2 = $76,667, choose strategy 2
E) EMV1 = $120,000, EMV2 = $110,000, choose strategy 1
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38
Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt. The level of demand affects the success of both strategies. The states of nature (Si) represent the levels of demand for the company products. S1, S2, and S3 characterize high, medium, and low demand, respectively. The payoff values are in thousands of dollars.
The best alternative (course of action) for the EKA manufacturing company using the maximin criterion is strategy ________ and the best possible payoff is ________.
A) 1, $50,000
B) 2, $120,000
C) 1, $100,000
D) 1, $70,000
E) 2, $80,000

A) 1, $50,000
B) 2, $120,000
C) 1, $100,000
D) 1, $70,000
E) 2, $80,000
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39
A pharmaceutical company manufacturing flu test kits wants to determine the probability of a teenager not having the flu when the test results indicate that they do (false positive). It is estimated that the probability of positive test for flu among potential users of the kit is 10 percent. According to the company laboratory test results, 1 out of 100 noninfected teenagers tested as having the flu (false positive). On the other hand, 1 out of 200 teenagers with the flu tested as not having the active virus (false negative). A teenager has just used the flu test kit manufactured by the company, and the results showed she does not have the flu. What is the probability that she does have the flu?
A) 1%
B) .9%
C) .05%
D) 8.3%
E) .056%
A) 1%
B) .9%
C) .05%
D) 8.3%
E) .056%
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40
An automobile insurance company is in the process of reviewing its policies. The company is considering increasing the premium charged to drivers under 25. According to company records, 35 percent of the insured drivers are under the age of 25. Company records also show that 280 of the 700 insured drivers under the age of 25 have been involved in at least one automobile accident. On the other hand, only 130 of the 1300 insured drivers 25 years or older have been involved in at least one automobile accident. What is the probability that an insured driver of any age will be involved in an accident?
A) 35%
B) 20.5%
C) 65%
D) 68.3%
E) 79.5%
A) 35%
B) 20.5%
C) 65%
D) 68.3%
E) 79.5%
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41
A tire manufacturer needs to determine the amount of production for the coming month (high vs. low). The level of production largely depends on the level of demand. For this situation, the amount of production constitutes the ________ actions.
A) alternative
B) utility
C) certainty
D) uncertainty
A) alternative
B) utility
C) certainty
D) uncertainty
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42
A ________ is a diagram that assists the decision maker in analyzing a decision problem.
A) Bayes' Theorem curve
B) decision tree
C) utility curve
D) maximax table
A) Bayes' Theorem curve
B) decision tree
C) utility curve
D) maximax table
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43
The ________ criterion finds the worst-possible payoff for each alternative and then chooses the alternative that yields the maximum worst-possible payoff.
A) maximin
B) certainty
C) maximax
D) decision
A) maximin
B) certainty
C) maximax
D) decision
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44
The ________ criterion is preferred by optimistic decision makers.
A) maximax
B) maximin
C) utility theory
D) risk theory
A) maximax
B) maximin
C) utility theory
D) risk theory
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45
The expected net gain of sampling equals the ________ minus the cost of sampling.
A) expected monetary value
B) expected value of perfect information
C) expected value of sampling information
D) expected net gain of sampling
A) expected monetary value
B) expected value of perfect information
C) expected value of sampling information
D) expected net gain of sampling
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46
When applying Bayes' Theorem, the sample information is combined with prior probabilities to obtain ________ probabilities.
A) utility
B) maximax
C) posterior
D) preposterior
A) utility
B) maximax
C) posterior
D) preposterior
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47
The ________ is the difference between the expected value of sampling and the cost of sampling.
A) expected monetary value
B) expected value of perfect information
C) expected value of sample information
D) expected net gain of sampling
A) expected monetary value
B) expected value of perfect information
C) expected value of sample information
D) expected net gain of sampling
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48
The expected ________ of a decision maker is based upon his/her attitude toward risk.
A) maximax
B) maximin
C) utility
D) risk theory
A) maximax
B) maximin
C) utility
D) risk theory
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49
The ________ criterion finds the best-possible payoff for each alternative and then chooses the alternative that yields the maximum best-possible payoff.
A) maximin
B) certainty
C) maximax
D) decision
A) maximin
B) certainty
C) maximax
D) decision
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50
The ________ criterion for choosing among alternative actions assumes that the state of nature with the best payoff will be experienced.
A) maximin
B) certainty
C) maximax
D) decision
A) maximin
B) certainty
C) maximax
D) decision
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51
The ________ is the difference between the expected payoff that would have been realized had the best alternative action been selected if we knew which state of nature would occur and the expected payoff under risk.
A) expected monetary value
B) expected value of perfect information
C) expected value of sample information
D) expected net gain of sampling
A) expected monetary value
B) expected value of perfect information
C) expected value of sample information
D) expected net gain of sampling
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52
________ statistics is an area of statistics that uses a theorem to update prior belief about a probability or population parameter to a posterior belief.
A) Bayesian
B) Utility theory
C) Preposterior analysis
D) Risk theory
A) Bayesian
B) Utility theory
C) Preposterior analysis
D) Risk theory
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53
The expected value criterion is used for decision making under ________.
A) risk
B) utility
C) certainty
D) uncertainty
A) risk
B) utility
C) certainty
D) uncertainty
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54
In a decision-making situation, the maximum amount of money that should be spent to obtain perfect information is called the ________.
A) expected monetary value
B) expected value of perfect information
C) expected value of sample information
D) expected net gain of sampling
A) expected monetary value
B) expected value of perfect information
C) expected value of sample information
D) expected net gain of sampling
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55
When we assess the worth of sample information in a decision-making problem, we are performing a(n) ________ analysis.
A) utility
B) maximax
C) posterior
D) preposterior
A) utility
B) maximax
C) posterior
D) preposterior
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56
A corn farmer has categorized the weather into three possible levels. The weather conditions will affect the timing of the harvest and the associated payoff. In this situation, the weather conditions are called the ________.
A) alternatives
B) states of nature
C) payoffs
D) perfect information
A) alternatives
B) states of nature
C) payoffs
D) perfect information
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57
Decision makers in business organizations make most decisions in environments that involve some degree of ________.
A) risk
B) utility
C) certainty
D) uncertainty
A) risk
B) utility
C) certainty
D) uncertainty
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58
The ________ criterion is preferred by pessimistic decision makers.
A) maximax
B) maximin
C) utility theory
D) risk theory
A) maximax
B) maximin
C) utility theory
D) risk theory
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59
When making a decision in an environment of ________, the decision maker knows which of the states of nature will actually occur.
A) risk
B) utility
C) certainty
D) uncertainty
A) risk
B) utility
C) certainty
D) uncertainty
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60
The ________ criterion for choosing among alternative actions assumes that the state of nature with the worst payoff will be experienced.
A) maximin
B) certainty
C) maximax
D) decision
A) maximin
B) certainty
C) maximax
D) decision
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61
An automobile insurance company is in the process of reviewing its policies. The company is considering increasing the premium charged to drivers under 25. According to company records, 35 percent of the insured drivers are under the age of 25. Company records also show that 280 of the 700 insured drivers under the age of 25 have been involved in at least one automobile accident. On the other hand, only 130 of the 1300 insured drivers 25 years or older have been involved in at least one automobile accident.
An accident has just been reported. What is the probability that the insured driver is under the age of 25?
An accident has just been reported. What is the probability that the insured driver is under the age of 25?
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62
A pharmaceutical company manufacturing flu test kits wants to determine the probability of a teenager not having the flu when the test results indicate that they do. It is estimated that the probability of positive test for flu among potential users of the kit is 10 percent. According to the company laboratory test results, 1 out of 100 noninfected teenagers tested as having the flu (false positive). On the other hand, 1 out of 200 teenagers with the flu tested as not having the active virus (false negative). A teenager has just used the flu test kit manufactured by the company and the results showed she does not have the flu. What is the probability that she has the flu?
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63
Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt. The level of demand affects the success of both strategies. The states of nature (SI) represent the levels of demand for the company products. S1, S2, and S3 characterize high, medium, and low demand, respectively. The payoff values are in thousands of dollars.
The management believes that weather conditions significantly affect the level of demand. 48 monthly sales reports are randomly selected. These monthly sales reports show 15 months with high demand, 28 months with medium demand, and 5 months with low demand. 12 of the 15 months with high demand had favorable weather conditions. 14 of the 28 months with medium demand had favorable weather conditions. Only 1 of the 5 months with low demand had favorable weather conditions.
Construct the revised probability table for poor weather conditions, and find the probability of high demand given that the weather conditions are poor.

Construct the revised probability table for poor weather conditions, and find the probability of high demand given that the weather conditions are poor.
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64
Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt. The level of demand affects the success of both strategies. The states of nature (SI) represent the levels of demand for the company products. S1, S2, and S3 characterize high, medium, and low demand, respectively. The payoff values are in thousands of dollars.
Determine the best alternative (course of action) for the EKA manufacturing company using the maximax criterion.

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65
Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt. The level of demand affects the success of both strategies. The states of nature (SI) represent the levels of demand for the company products. S1, S2, and S3 characterize high, medium, and low demand, respectively. The payoff values are in thousands of dollars.
The management believes that weather conditions significantly affect the level of demand. 48 monthly sales reports are randomly selected. These monthly sales reports show 15 months with high demand, 28 months with medium demand, and 5 months with low demand. 12 of the 15 months with high demand had favorable weather conditions. 14 of the 28 months with medium demand had favorable weather conditions. Only 1 of the 5 months with low demand had favorable weather conditions.
If the weather conditions are favorable, determine which manufacturing strategy the company should implement.

If the weather conditions are favorable, determine which manufacturing strategy the company should implement.
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66
The quality control manager for NKA Inc. must decide whether to accept (alternative 1), further analyze (alternative 2), or reject (alternative 3) an incoming shipment (lot) of microchips. The historical data indicate that there is a 30 percent chance that the lot is poor quality (S1), 50 percent chance that the lot is fair quality (S2), and 20 percent chance that the lot is good quality (S3). Assume the following payoff table is available. The values in the payoff table are in thousands of dollars.
What alternative action should be selected according to the maximax criterion?

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67
The alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt. The level of demand affects the success of both strategies. The states of nature (SI) represent the levels of demand for the company products. s1, s2, and s3 characterize high, medium, and low demand, respectively. The payoff values are in thousands of dollars. Prior probabilities are .3 for s1; .6 for s2, and .1 for s3.
Find the expected monetary value for each of the alternatives and determine the best alternative (course of action) for the EKA manufacturing company using the expected monetary value criterion.

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68
The ________ criterion is best used when a large number of similar decisions will be made.
A) expected monetary value
B) expected value of perfect information
C) expected value of sample information
D) expected net gain of sampling
A) expected monetary value
B) expected value of perfect information
C) expected value of sample information
D) expected net gain of sampling
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69
Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt. The level of demand affects the success of both strategies. The states of nature (SI) represent the levels of demand for the company products. s1, s2, and s3 characterize high, medium, and low demand, respectively. The payoff values are in thousands of dollars. Prior probabilities are .3 for s1; .6 for s2, and .1 for s3.
What is the maximum amount that the company would be willing to pay for perfect information?

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70
An automobile insurance company is in the process of reviewing its policies. The company is considering increasing the premium charged to drivers under 25. According to company records, 35 percent of the insured drivers are under the age of 25. Company records also show that 280 of the 700 insured drivers under the age of 25 have been involved in at least one automobile accident. On the other hand, only 130 of the 1300 insured drivers 25 years or older have been involved in at least one automobile accident.
What is the probability that an insured driver of any age will be involved in an accident?
What is the probability that an insured driver of any age will be involved in an accident?
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71
Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt. The level of demand affects the success of both strategies. The states of nature (SI) represent the levels of demand for the company products. S1, S2, and S3 characterize high, medium, and low demand, respectively. The payoff values are in thousands of dollars.
The management believes that weather conditions significantly affect the level of demand. 48 monthly sales reports are randomly selected. These monthly sales reports show 15 months with high demand, 28 months with medium demand, and 5 months with low demand. 12 of the 15 months with high demand had favorable weather conditions. 14 of the 28 months with medium demand had favorable weather conditions. Only 1 of the 5 months with low demand had favorable weather conditions. Based on this information, the prior probabilities have been revised. If the weather conditions are favorable, P(S1) = .4286, P(S2) = .5357, and P(S3) = .0357; and if the weather conditions are poor, P(S1) = .1364, P(S2) = .6818, and P(S3) = .1818. It is also determined that the probability of favorable weather is .56 and the probability of poor weather is .44.
Carry out a preposterior analysis and, using the revised probabilities, determine (1) the expected monetary value when the weather conditions are favorable and (2) the expected monetary value when the weather conditions are poor.

Carry out a preposterior analysis and, using the revised probabilities, determine (1) the expected monetary value when the weather conditions are favorable and (2) the expected monetary value when the weather conditions are poor.
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72
Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt. The level of demand affects the success of both strategies. The states of nature (SI) represent the levels of demand for the company products. S1, S2, and S3 characterize high, medium, and low demand, respectively. The payoff values are in thousands of dollars.
Determine the best alternative (course of action) for the EKA manufacturing company using the maximin criterion.

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73
The ________ curve of an individual decision maker is a plot of their utilities versus the profits.
A) utility
B) maximax
C) posterior
D) preposterior
A) utility
B) maximax
C) posterior
D) preposterior
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74
A pharmaceutical company manufacturing flu test kits wants to determine the probability of a teenager not having the flu when the test results indicate that they do. It is estimated that the probability of positive test for flu among potential users of the kit is 10 percent. According to the company laboratory test results, 1 out of 100 noninfected teenagers tested as having the flu (false positive). On the other hand, 1 out of 200 teenagers with the flu tested as not having the active virus (false negative). A teenager has just used the flu test kit manufactured by the company and the results showed she has the flu. What is the probability that she does not have the flu?
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75
The quality control manager for NKA Inc. must decide whether to accept (alternative 1), further analyze (alternative 2), or reject (alternative 3) an incoming shipment (lot) of microchips. The historical data indicate that there is a 30 percent chance that the lot is poor quality (S1), 50 percent chance that the lot is fair quality (S2), and 20 percent chance that the lot is good quality (S3). Assume the following payoff table is available. The values in the payoff table are in thousands of dollars.
What alternative action should be selected according to the maximin criterion?

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76
Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt. The level of demand affects the success of both strategies. The states of nature (SI) represent the levels of demand for the company products. S1, S2, and S3 characterize high, medium, and low demand, respectively. The payoff values are in thousands of dollars.
The management believes that weather conditions significantly affect the level of demand. 48 monthly sales reports are randomly selected. These monthly sales reports show 15 months with high demand, 28 months with medium demand, and 5 months with low demand. 12 of the 15 months with high demand had favorable weather conditions. 14 of the 28 months with medium demand had favorable weather conditions. Only 1 of the 5 months with low demand had favorable weather conditions. Based on this information, the prior probabilities have been revised. If the weather conditions are favorable, P(S1) = .4286, P(S2) = .5357, and P(S3) = .0357; and if the weather conditions are poor, P(S1) = .1364, P(S2) = .6818, and P(S3) = .1818. It is also determined that the probability of favorable weather is .56 and the probability of poor weather is .44.
Determine the expected value of sample information. What is the maximum amount that the company is willing to pay for the weather information and the additional analysis?

Determine the expected value of sample information. What is the maximum amount that the company is willing to pay for the weather information and the additional analysis?
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77
In utility theory, a ________ decision maker is an individual who will choose the decision alternative having the highest expected profit.
A) high-risk
B) low-risk
C) risk-neutral
D) posterior
A) high-risk
B) low-risk
C) risk-neutral
D) posterior
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78
Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt. The level of demand affects the success of both strategies. The states of nature (SI) represent the levels of demand for the company products. s1, s2, and s3 characterize high, medium, and low demand, respectively. The payoff values are in thousands of dollars.
The management believes that weather conditions significantly affect the level of demand. 48 monthly sales reports are randomly selected. These monthly sales reports show 15 months with high demand, 28 months with medium demand, and 5 months with low demand. 12 of the 15 months with high demand had favorable weather conditions. 14 of the 28 months with medium demand had favorable weather conditions. Only 1 of the 5 months with low demand had favorable weather conditions.
What is the probability that weather conditions are poor, given that the demand is high? What is the probability that weather conditions are poor, given that the demand is medium? What is the probability that weather conditions are poor, given that the demand is low?

What is the probability that weather conditions are poor, given that the demand is high? What is the probability that weather conditions are poor, given that the demand is medium? What is the probability that weather conditions are poor, given that the demand is low?
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79
Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt. The level of demand affects the success of both strategies. The states of nature (SI) represent the levels of demand for the company products. S1, S2, and S3 characterize high, medium, and low demand, respectively. The payoff values are in thousands of dollars.
The management believes that weather conditions significantly affect the level of demand. 48 monthly sales reports are randomly selected. These monthly sales reports show 15 months with high demand, 28 months with medium demand, and 5 months with low demand. 12 of the 15 months with high demand had favorable weather conditions. 14 of the 28 months with medium demand had favorable weather conditions. Only 1 of the 5 months with low demand had favorable weather conditions.
Construct the revised probability table for favorable weather conditions, and find the probability of high demand given that the weather conditions are favorable.

Construct the revised probability table for favorable weather conditions, and find the probability of high demand given that the weather conditions are favorable.
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80
Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt. The level of demand affects the success of both strategies. The states of nature (SI) represent the levels of demand for the company products. S1, S2, and S3 characterize high, medium, and low demand, respectively. The payoff values are in thousands of dollars.
The management believes that weather conditions significantly affect the level of demand. 48 monthly sales reports are randomly selected. These monthly sales reports show 15 months with high demand, 28 months with medium demand, and 5 months with low demand. 12 of the 15 months with high demand had favorable weather conditions. 14 of the 28 months with medium demand had favorable weather conditions. Only 1 of the 5 months with low demand had favorable weather conditions.
If the weather conditions are poor, determine which manufacturing strategy the company should implement.

If the weather conditions are poor, determine which manufacturing strategy the company should implement.
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