Decision Analysis Final Exam - 421 Verified Questions

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Chapter 8: Evolutionary Solver: An Alternative Optimization

Procedure

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Sample Questions

Q1) A traveling salesman problem with a starting city and 10 other cities that must be visited has 1,826,800 possible solutions.

A)True

B)False

Q2) Which of the following is not one of the Excel functions that necessitate the use of Evolutionary Solver to obtain solutions

A) SUM

B) IF

C) MAX

D) MIN

Q3) The objective function in a genetic algorithm is called a:

A) chromosome

B) fitness function

C) population

D) generation

Q4) With two-part tariff pricing,it is assumed that a customer buys the quantity that provides the largest difference between value and total price. A)True

B)False

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Chapter 9: Decision Making Under Uncertainty

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Sample Questions

Q1) The expected value of information (EVI)is the difference between the EMV obtained with free sample information and the EMV obtained without any information.

A)True

B)False

Q2) Expected monetary value (EMV)is:

A) the average or expected value of the decision if you knew what would happen ahead of time

B) the weighted average of possible monetary values, weighted by their probabilities

C) the average or expected value of the information if it was completely accurate

D) the amount that you would lose by not picking the best alternative

Q3) The risk profile from Precision Tree shows the probability distribution of monetary outcomes in both graphical and tabular form.

A)True

B)False

Q4) Refer to Exhibit 9-1.Find the highest cost of insulating the grapefruits for which the farmer prefers to insulate his crop.

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Chapter 11: Simulation Models

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Sample Questions

Q1) [Part 1] Refer to Exhibit 11-1.What is the deterministic next present value (NPV)of the project,including the required investment,assuming a 10% discount rate

Q2) [Part 4] Refer to Exhibit 11-2.Are there any simulations which indicated there was a chance of getting negative NPV

Briefly explain in one sentence.

Q3) [Part 5] Refer to Exhibit 11-1.What are the chances the firm could lose money on this project,given the price uncertainty

Q4) The RISKSIMTABLE function is used to summarize the results of a single simulation of product lifetime.

A)True

B)False

Q5) A marketing simulation model can be used to determine the expected profit under uncertain customer loyalty,but an optimization model must be used to determine the optimal amount to spend on increasing customer loyalty.

A)True

B)False

Q6) [Part 3] Refer to Exhibit 11-1.What is the standard deviation of the NPV What does it indicate

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Chapter 12: Queueing Models

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Sample Questions

Q1) Traffic intensity is a very useful measure of:

A) whether the system is stable or not

B) the number of customers in a system

C) the distribution of interarrival times

D) the amount of congestion in the system

Q2) A requirement for steady state analysis of a queuing system is that:

A) the initial conditions are still in effect

B) the waiting time must be exponentially distributed

C) the analysis period is at least two hours

D) the service rate must be constant

Q3) The decision to balk at entering a queuing system can be made by the customer or the system.

A)True

B)False

Q4) A queuing system where customers join a single line and then are served by the first available server are said to be:

A) in parallel

B) in series

C) random

D) networked

Page 14

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Chapter 14: Data Mining

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Sample Questions

Q1) SQL Server Analysis Services (SSAS)concentrates on which types of data mining

A) classification and clustering

B) market basket and forecasting

C) clustering and prediction

D) forecasting and classification

Q2) The logistic function 1/(1+e<sup> -x</sup> )

A) is concave.

B) is convex.

C) is S-shaped.

D) takes on values between -1 and 1.

Q3) Refer to exhibit 14-3 As a first step in grouping the Indiana colleges and universities into clusters,standardize the numeric measures.

Q4) The primary advantage of neural networks is that they provide more accurate predictions,especially when the relationships are linear.

A)True

B)False

Q5) See Exhibit 14.1 - How well can logistic regression classify the people as having the illness or not

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