A circus is scheduled to appear in a city on a given date. The profits obtained are heavily dependent on the weather which can be classified as “good” or” bad”. The circus owners may choose to setup operations in a large open field that is centrally located or rent a small building to stage a small version of the circus. The small building is not expected to be adversely affected by bad weather – thus will not affect the circus for it is well secure and has covered parking for the guests. The following shows the profits of the options and states of nature: States of nature Decision alternatives good bad Set up in field $14,500 -$15,000 Rent small building $5000 $4,000 Probability P(G)=0.5 P(B)=0.5 The circus owners may choose to delay the decision until the day before the event is due. At this time they can obtain the one-day weather report (free) which is usually reliable. This delay will however increase their set up cost by $1000.00 or if they choose to rent, the rental cost will go up by $1500. The following is the reliability of the weather forecasters who will report that the weather will be either rainy or sunny: Reliability of forecast Forecast report good bad Sunny 0.7 0.2 Rainy 0.3 0.8 That is P(S/G) =0.7; P(R/G) =0.3; P(S/B) =0.2; P(R/B) =0.8 After you have computed the revised probabilities round to two decimal places a) Construct the appropriate decision tree to help the circus make the appropriate decisions. This tree must be constructed in logical order with labels and net payoffs. It also includes the revised probabilities b) Fold back the decision tree to determine the best strategy for the circus; you must state this strategy . What is the final expected profit? c) What is the expected value of sample information (EVSI)- the most that the weather forecast values? d) Calculate the expected value of perfect information (EVPI)- the most that should be paid to an expert for perfect prediction of the uncertain outcomes. e) What is the efficiency of sample information?

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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A circus is scheduled to appear in a city on a given date. The profits obtained are heavily dependent on 
the weather which can be classified as “good” or” bad”. The circus owners may choose to setup 
operations in a large open field that is centrally located or rent a small building to stage a small version 
of the circus. The small building is not expected to be adversely affected by bad weather – thus will not 
affect the circus for it is well secure and has covered parking for the guests. The following shows the 
profits of the options and states of nature: 

  States of nature  
Decision alternatives  good bad
Set up in field $14,500 -$15,000
Rent small building  $5000 $4,000
Probability  P(G)=0.5  P(B)=0.5

The circus owners may choose to delay the decision until the day before the event is due. At this time 
they can obtain the one-day weather report (free) which is usually reliable. This delay will however 
increase their set up cost by $1000.00 or if they choose to rent, the rental cost will go up by $1500. The 
following is the reliability of the weather forecasters who will report that the weather will be either 
rainy or sunny: 

  Reliability of forecast  
Forecast report good bad
Sunny  0.7 0.2
Rainy 0.3 0.8

That is P(S/G) =0.7; P(R/G) =0.3; P(S/B) =0.2; P(R/B) =0.8 


After you have computed the revised probabilities round to two decimal places 


a) Construct the appropriate decision tree to help the circus make the appropriate decisions. This 
tree must be constructed in logical order with labels and net payoffs. It also includes 
the revised probabilities 
b) Fold back the decision tree  to determine the best strategy for the circus; you must state 
this strategy . What is the final expected profit?
c) What is the expected value of sample information (EVSI)- the most that the weather forecast 
values? 
d) Calculate the expected value of perfect information (EVPI)- the most that should be paid to an 
expert for perfect prediction of the uncertain outcomes. 
e) What is the efficiency of sample information?

 

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