I have 5 discussion problems that I need done. Attached is the 5 problems and the template to show the work
MAT540Homework
Week
2
Page 1 of
4
MAT54
0
Week 2 Homework
Chapter 12
1. A local real estate investor in Orlando is considering three alternative investments; a motel, a
restaurant, or a theater. Profits from the motel or restaurant will be affected by the availability of
gasoline and the number of tourists; profits from the theater will be relatively stable under any
conditions. The following payoff table shows the profit or loss that could result from each
investment:
Investment
Weather Conditions
Shortage Stable Supply Surplus
Motel $-7,500 $12,000 $23,000
Restaurant 3000 7,000 6,500
Theater 5000 6,000 4,000
Determine the best investment, using the following decision criteria.
a. Maximax
b. Maximin
c. Minimax regret
d. Hurwicz (α = 0.4)
e. Equal likelihood
2. A concessions manager at the Tech versus A&M football game must decide whether to have the
vendors sell sun visors or umbrellas. There is a 35% chance of rain, a 25% chance of overcast skies,
and a 40% chance of sunshine, according to the weather forecast in college junction, where the
game is to be held. The manager estimates that the following profits will result from each decision,
given each set of weather conditions:
MAT540 Homework
Week 2
Page 2 of 4
Decision
Weather Conditions
Rain
0.35
Overcast
0.25
Sunshine
0.40
Sun visors $-400 $-200 $1,500
Umbrellas 2,100 0 -800
a. Compute the expected value for each decision and select the best one.
b. Develop the opportunity loss table and compute the expected opportunity loss for each
decision.
3. Place-Plus, a real estate development firm, is considering several alternative development projects.
These include building and leasing an office park, purchasing a parcel of land and building an
office building to rent, buying and leasing a warehouse, building a strip mall, and selling
condominiums. The financial success of these projects depends on interest rate movement in the
next 5 years. The various development projects and their 5- year financial return (in $1,000,000s)
given that interest rates will decline, remain stable, or increase, are in the following payoff table.
Place-Plus real estate development firm has hired an economist to assign a probability to each
direction interest rates may take over the next 5 years. The economist has determined that there is a
0.45 probability that interest rates will decline, a 0.35 probability that rates will remain stable, and a
0.2 probability that rates will increase.
a. Using expected value, determine the best project.
b. Determine the expected value of perfect information.
Project
Interest Rate
Decline Stable Increase
Office park $0.4 $1.55 $3.5
Office building 2.5 1.8 2.75
Warehouse 1.7 1.45 1.5
Mall 0.8 2.3 3.5
Condominiums 3.2 1.5 0.5
MAT540 Homework
Week 2
Page 3 of 4
4. The director of career advising at Orange Community College wants to use decision analysis to
provide information to help students decide which 2-year degree program they should pursue. The
director has set up the following payoff table for six of the most popular and successful degree
programs at OCC that shows the estimated 5-Year gross income ($) from each degree for four
future economic conditions:
Degree Program
Economic Conditions
Recession Average Good Robust
Graphic design 150,000 175,000 220,000 200,000
Nursing 160,000 180,000 205,000 215,000
Real estate 125,000 165,000 220,000 210,000
Medical technology 135,000 180,000 210,000 270,000
Culinary technology 110,000 145,000 235,000 205,000
Computer information
technology
130,000 150,000 190,000 245,000
Determine the best degree program in terms of projected income, using the following decision criteria:
a. Maximax
b. Maximin
c. Equal likelihood
d. Hurwicz (α=0.4)
5. Construct a decision tree for the following decision situation and indicate the best decision.
Fenton and Farrah Friendly, husband-and-wife car dealers, are soon going to open a new dealership.
They have three offers: from a foreign compact car company, from a U.S. producer of full-sized
cars, and from a truck company. The success of each type of dealership will depend on how much
gasoline is going to be available during the next few years. The profit from each type of dealership,
given the availability of gas, is shown in the following payoff table:
MAT540 Homework
Week 2
Page 4 of 4
Dealership
Gasoline Availability
Shortage
0.7
Surplus
0.
3
Compact cars $25,000 $150,000
Full-sized cars -90,000 650,000
Trucks 125,000 170,000
Decision Tree diagram to complete:
1
2
3
4
Compact cars
Full-sized cars
Trucks
Shortage 0.7
Surplus 0.3
Shortage 0.7
Surplus 0.3
Surplus 0.3
Shortage 0.7
$250,000
$150,00
0
-$90,000
$650,000
$125,000
$170,000
>Q of Nature
ecision
heater
, 0
,000
,000
$23,000 -$7,500 ,500
$7,000 $3,000 ( )
Theater $6,000 $4,000 qual Likelihood
Motel decision =
decision =
$0 $12,500 $5,000 $16,500 ,000
$19,000 Decision: ability
0.4 0 00
Probability 0.35 0.25 0.4 Sun Visor 200 0 Umbrella Development
Decision Tables EV 5
Office park Decision 1.5 1.5 Interest Rate Office building Maximum Minimum Summary Decision 5,000
0,000
220,000 150,000 a) maximax Real estate 215,000 160,000 b) maximin Nursing 220,000 220,000 125,000 Real estate 180,000 210,000 0,000 135,000 Real estate 205,000 235,000 110,000 150,000 5,000
245,000 130,000 Maximax decision = Decision: Hurwicz Decision: 250000 Data 250000 0.7 650000 180000 Prob 0 0 0 D 3 1 2 3 0 0 1
2
1
States
Summary
D
Decision
Gasoline Availablity
a) maximax
Motel
Investment
Shortage
Stable Supply
Surplus
Maximum
Minimum
b) maximin
T
Motel
-$
7
5
0
$
12
$2
3
c) minimax regret
Motel or
Restaurant
Restaurant
$3,000
$7,000
$
6
d)
Hurwicz
alpha =
0.
4
Theater
$
5,000
$6,000
$4,000
e)
E
Maximax
Maximin
Regret Table
States of Nature
Decision Gasoline Availablity
Investment Shortage Stable Supply Surplus Maximum
Motel
$12,500
$0
Restaurant
$2,000
$16,500
Theater $0 $6,000
$1
9
Minimax regret =
Hurwicz
alpha =
0.3
Decision:
1 – alpha =
0.7
Motel
$1,650
Restaurant
$4,
200
Theater
$4,600
Equal Likelihood
Motel
$9,167
Restaurant
$5,500
Theater $5,000
Q2
Decision Tables
Data
Profit
Rain
Overcast
Sunshine
EV
Prob
0.35
0.25
Sun Visor
Sun Visors
-400
-200
1500
Umbrella
Umbrellas
2100
–
8
Opportunity Loss Table
Rain Overcast Sunshine
EOL
Sun Visors
2500
Umbrellas 0 0
2300
Decision:
Minimize your Expected Opportunity Loss
Q3
Real estate
Interest Rate
Project
Decline (0.45)
Stable (0.35)
Increase (0.2)
Office park
$0.40
$
1.5
$3.50
Office building
2.5
1.8
2.75
Office building
Warehouse
1.7
1.45
Warehouse
Mall
0.8
2.3
3.7
Mall
Condominiums
3.2
0.5
Condominiums
Opportunity Loss table
Project Decline (0.45) Stable (0.35) Increase (0.2)
Office park
Warehouse
Mall
Condominiums
EVPI
Q4
Economic Conditions
Degree Program
Recession
Average
Good
Robust
Graphic design
1
50,000
17
22
200,000
Nursing
1
60,000
180,000
205,000
2
15,000
Real estate
1
25,000
1
65,000
2
10,000
c) equal likelihood
Medical technology
1
35,000
2
70,000
27
d) Hurwicz (alpha = 0.5)
Culinary technology
110,000
1
45,000
235,000
Computer information technology
1
30,000
190,000
24
Maximin decision =
Regret Table
Economic Conditions Degree Program Recession Average Good Robust
MAX
MIN
Graphic design 10,000 5,000 15,000 70,000
Nursing 0 0 30,000
55,000
Real estate 35,000 15,000 15,000 60,000
Medical technology 25,000 0 25,000 0
Culinary technology 50,000 35,000 0 65,000
Computer information technology 30,000 30,000 45,000 25,000
Decision: Maximax 0
Equal Likelihood Decision: Maximin 0
Graphic design
$186,250
Nursing
$190,000
Real estate
$180,000
Medical technology
$198,750
Culinary technology
$173,750
Computer information technology
$178,750
alpha = 0.4
1 – alpha =
0.6
Graphic design
$178,000
Nursing
$182,000
Real estate
$163,000
Medical technology
$189,000
Culinary technology
$160,000
Computer information technology
$176,000
Q5
0.7
Shortage
250000
Problem #25 (reference)
Compact Cars
Results
Profit Shortage Surplus
EMV
0.3 Probability 0.7 0.3
Surplus
Compact cars
150000
150000
Full-sized cars
-90000
650000
150000
Trucks
125000
180000
Shortage -90000
Full-sized cars -90000
1
0 0.3
Surplus Decision
650000
0.7
Shortage 125000
Trucks 125000
0.3
Surplus
180000
170000
ID
Name
Value
Pred
Kind
NS
S1
S2
S3
S4
S5
Row
Col
Mark
0
TreePlan
14
TRUE
1 0 0 E 2 4 5 0 0 0 4 5 TRUE
2 0 0 E 2 6 7 0 0 0 14 5 TRUE
3 0 0 E 2 8 9 0 0 0 24 5 TRUE
4 1 T 0 0 0 0 0 0 2 9 TRUE
5 1 T 0 0 0 0 0 0 7 9 TRUE
6 2 T 0 0 0 0 0 0 12 9 TRUE
7 2 T 0 0 0 0 0 0 17 9 TRUE
8 3 T 0 0 0 0 0 0 22 9 TRUE
9 3 T 0 0 0 0 0 0 27 9 TRUE