1.
The following is a payoff table giving profits for various situations.
State
Of
Nature
Alternatives
A
B
C
Alternative 1
100
120
180
Alternative 2
120
140
120
Alternative 3
200
100
50
Do Nothing
0
0
0
The probabilities for states of nature A, B, and C are 0.3, 0.5, and 0.2, respectively. What decision should be made based on the minimax regret criterion?
(Points : 2.5) Alternative 1 Alternative 2 Alternative 3 Do Nothing None of the above
Question 2. 2. Hampton sells handcrafted yard decorations at county fairs. The variable cost to make these is $20 each, and he sells them for $50. The cost to rent a booth at teh afir is $150. How many of these must Hampton sell to break even? (Points : 2.5)
50 20 150 5 None of the above
Question 3. 3. The following is a payoff table giving profits for various situations.
State
Of
Nature
Alternatives
A
B
C
Alternative 1
100
120
180
Alternative 2
120
140
120
Alternative 3
200
100
50
Do Nothing
0
0
0
The probabilities for states of nature A, B, and C are 0.3, 0.5, and 0.2, respectively. What decision should be made based on the equally likely criterion?
(Points : 2.5)
Alternative 1 Alternative 2 Alternative 3 Do Nothing None of the above
Question 4. 4. The classical method of determining probability is
(Points : 2.5)
subjective probability. marginal probability. objective probability. joint probability. conditional probability.
Question 5. 5. Enrollment in a particular class for the last four semesters has been 120, 126, 110, and 130 (listed from oldest to most recent). Develop a forecast of enrollment next semester using exponential smoothing with an alpha = 0.2. Assume that an initial forecast for the first semester was 120 (so the forecast and the actual were the same).
(Points : 2.5)
118.96 121.17 130 120 None of the above
Question 6. 6. The dependent variable is also called the response variable.
(Points : 2.5)
True False
Question 7. 7. The correlation coefficient resulting from a particular regression analysis was 0.58. What was the coefficient of determination?
(Points : 2.5)
0.3364 -0.3364 0.7616 -0.7616 There is insufficient information to answer the question.
Question 8. 8. What is the formula for the break-even point of a simple profit model?
(Points : 2.5)
Fixed Cost / Variable Cost Per Unit (Selling Price Per Unit —Variable Cost Per Unit) / Fixed Cost Fixed Cost / (Selling Price Per Unit —Variable Cost Per Unit) Fixed Cost / (Variable Cost Per Unit — Selling Price Per Unit) Selling Price Per Unit — (Fixed Cost / Variable Cost Per Unit)
Question 9. 9. The costs involved in a typical inventory model are order costs, management costs, and holding costs. (Points : 2.5)
True False
Question 10. 10. Mean absolute deviation (MAD) is simply the sum of forecast errors.
(Points : 2.5)
True False
Question 11. 11. A medium-term forecast is considered to cover what length of time?
(Points : 2.5)
2-4 weeks 1 month to 1 year 2-4 years 5-10 years 20 years
Question 12. 12. A store of Pizza Hut provides the following data on the quantity of pizzas sold during the month of January through July 2014, the price of a large pizza, and the advertising expenses.
Quantity Sold
Price
Advertising Expenses
8500
$10
$3,000
4800
14
1000
6500
12
1500
7800
11
2000
6000
13
1500
8000
10
2500
7000
11
1800
The regression output is as follow:
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.98154
R Square
0.96342
Adjusted R Square
0.94513
Standard Error
301.7577
Observations
7
ANOVA
df
SS
MS
F
Significance F
Regression
2
9592912
4796456
52.67491
0.001338
Residual
4
364230.8
91057.69
Total
6
9957143
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Intercept
12460.58
3181.967
3.915998
0.017306
3626.02
21295.13
Price
-577.885
204.148
-2.83071
0.047311
-1144.69
-11.0789
Advertising Expenses
0.615385
0.458403
1.342454
0.250575
-0.65735
1.888115
Which of the following is correct about the relationship between quantity sold and the price of pizza? (Points : 2.5)
There is a positive relationhsip between quantity sold and price of pizza and the relationship is statistically significant at 1%. There is a negative relationship between the quantity sold and the price of pizza and the relationship is statistically significant at 5%. There is a negative relationship between quantity sold and the price of pizza but the relationship is not statistically significant. There is insufficient information to answer the question. None of the above.
Question 13. 13. Daily demand for newspapers for the last 10 days has been as follows: 12, 13, 16, 15, 12, 18, 14, 12, 13, 15 (listed from oldest to most recent). Forecast sales for the next day using a two-day moving average.
(Points : 2.5)
14 13 15 28 12.5
Question 14. 14. A model is a representation of a situation.
(Points : 2.5)
True False
Question 15. 15. Historical data indicates that only 20% of cable customers are willing to switch companies. If a binomial process is assumed, then in a sample of 20 cable customers, what is the probability that no more than 3 customers would be willing to switch their cable?
(Points : 2.5)
0.85 0.15 0.20 0.411 0.589
Question 16. 16. Purchasing department supplies comprise one of the “carrying cost factors.” (Points : 2.5)
True False
Question 17. 17. The jury of executive opinion forecasting model uses the opinions of a small group of high-level managers, often in combination with statistical models, and results in a group estimate of demand.
(Points : 2.5)
True False
Question 18. 18. Demand for soccer balls at a new sporting goods store is forecasted using the following regression equation: Y = 98 + 2.2X where X is the number of months that the store has been in existence. Let April be represented by X = 4. April is assumed to have a seasonality index of 1.15. What is the forecast for soccer ball demand for the month of April (rounded to the nearest integer)?
(Points : 2.5)
123 107 100 115 None of the above
Question 19. 19. The economic order quantity helps one estimate the optimal number of units to purchase with each order.
(Points : 2.5)
True False
Question 20. 20. Inventory
(Points : 2.5)
is any stored resource used to satisfy current or future need. includes raw materials, work-in-process, and finished goods. levels for finished goods are a direct function of demand. needs from raw materials through finished goods can be reasonably determined, once finished goods demand is determined. All of the above
Question 21. 21. Given two statistically independent events (A ,B ), the joint probability of P (AB ) = P (A ) + P (B ).
(Points : 2.5)
True False
Question 22. 22. The use of “expert opinion” is one way to approximate subjective probability values.
(Points : 2.5)
True False
Question 23. 23. A store of Pizza Hut provides the following data on the quantity of pizzas sold during the month of January through July 2014, the price of a large pizza, and the advertising expenses.
Quantity Sold
Price
Advertising Expenses
8500
$10
$3,000
4800
14
1000
6500
12
1500
7800
11
2000
6000
13
1500
8000
10
2500
7000
11
1800
The regression output is as follow:
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.98154
R Square
0.96342
Adjusted R Square
0.94513
Standard Error
301.7577
Observations
7
ANOVA
df
SS
MS
F
Significance F
Regression
2
9592912
4796456
52.67491
0.001338
Residual
4
364230.8
91057.69
Total
6
9957143
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Intercept
12460.58
3181.967
3.915998
0.017306
3626.02
21295.13
Price
-577.885
204.148
-2.83071
0.047311
-1144.69
-11.0789
Advertising Expenses
0.615385
0.458403
1.342454
0.250575
-0.65735
1.888115
What is the coefficient of determination?
(Points : 2.5)
0.98154 0.96342 0.94513 0.615385 None of the above
Question 24. 24. The following is a payoff table giving profits for various situations.
State
Of
Nature
Alternatives
A
B
C
Alternative 1
100
120
180
Alternative 2
120
140
120
Alternative 3
200
100
50
Do Nothing
0
0
0
The probabilities for states of nature A, B, and C are 0.3, 0.5, and 0.2, respectively. What decision would a pessimist make?
(Points : 2.5)
Alternative 1 Alternative 2 Alternative 3 Do Nothing None of the above
Question 25. 25. Mark Achin sells 3,600 electric motors each year. The cost of these is $200 each, and demand is constant throughout the year. The cost of placing an order is $40, while the holding cost is $20 per unit per year. There are 360 working days per year and the lead-time is 5 days. If Mark orders 200 units each time he places an order, what would his total ordering cost be for the year?
(Points : 2.5)
$2,000 $2,720 $200 $720 None of the above
Question 26. 26. The objective of a(n) ________ system is to reduce costs by integrating all of the operations of a firm.
(Points : 2.5)
MRP ERP JIT VMI EOQ
Question 27. 27. The following is a payoff table giving profits for various situations.
State
Of
Nature
Alternatives
A
B
C
Alternative 1
100
120
180
Alternative 2
120
140
120
Alternative 3
200
100
50
Do Nothing
0
0
0
The probabilities for states of nature A, B, and C are 0.3, 0.5, and 0.2, respectively. What decision would an optimist make?
(Points : 2.5)
Alternative 1 Alternative 2 Alternative 3 Do Nothing State of Nature A
Question 28. 28. The annual demand for a product is 1,000 units. The company orders 200 units each time an order is placed. The lead-time is 6 days, and the company has determined that 20 units should be held as a safety stock. There are 250 working days per year. What is the reorder point?
(Points : 2.5)
20 24 44 120 None of the above
Question 29. 29. The coefficient of determination resulting from a particular regression analysis was 0.7921. What was the correlation coefficient, assuming a positive linear relationship?
(Points : 2.5)
0.6274 -0.6274 0.89 -0.89 There is insufficient information to answer the question.
Question 30. 30. “The probability of event B , given that event A has occurred” is known as a ________ probability.
(Points : 2.5)
continuous marginal simple joint conditional
Question 31. 31. In making inventory decisions, the purpose of the basic EOQ model is to (Points : 2.5)
minimize carrying costs. minimize ordering costs. minimize the sum of carrying costs and ordering costs. minimize customer dissatisfaction. minimize stock on hand.
Question 32. 32. A store of Pizza Hut provides the following data on the quantity of pizzas sold during the month of January through July 2014, the price of a large pizza, and the advertising expenses.