Business Assignment- Multiple choices

Business Assignment- Multiple choices

This document is for review purposes and does not represent every type of problem that may be on the 40 question QMB3600 cumulative final exam.

 

1. This problem is in reference to students who may or may not take advantage of the            opportunities provided in QMB such as homework.  Some of the students pass the          course, and some of them do not pass. Research indicates that 40% of the students do         the assigned homework. Of the students who do homework, there is an 80% chance            they will pass the course. The probability of not passing if the student does not do the             home   work is 90%.  What is the probability of a student not doing homework or passing?

 

1. .32
2. .52
3. .94
4. .92
5. .38

 

2. Suppose that for a certain football game the probability that the home team will be            ahead at half-time is 0.60 and the probability that the home team will be ahead at half-            time as well as at the final gun is 0.45.  What is the probability that the home team will         win this game given that it is ahead at the half?

 

1. .45
2. .75
3. .15
4. .27
5. None of the above.

 

3. A company markets two products (Product A and Product B) through mail order.  The     company will market them in sequence with the first mail order offer for product A.  It f feels that there is a 30% chance that any customer will purchase product A. Product B is        offered some months later.  It is felt, for product B, that there is a 30% chance of selling          product B to a customer if the customer purchased product A and a 5% chance of             selling product B to a customer who did not purchase product A.

 

            What is the probability of not selling product B to a particular customer?

 

1. .875
2. .665
3. .125
4. .210
5. None of the above

 

 

 

4. A quality control department finds that it accepted only 5% of all bad items and it            rejected only 1% of good items. A supplier has just delivered a shipment of a certain             item. Past records show that only 90% of the parts of that supplier are good. If the       department accepts an item, what is the probability that the item is bad?  Round your     answer to five decimal places.

 

1. 0.05000
2. 0.00558
3. 0.35714
4. 0.09635
5. None of the above

 

5. The probability that house sales will increase over the next six months is estimated at         0.25. It is also estimated that the probability is 0.74 that 30 year fixed-loan mortgage        rates will increase over this period. Economists estimate that the probability is 0.89 that             either housing sales or interest rates will increase.

 

      The probability that both house sales and interest rates will increase is estimated at:

1. .100  
2. .185 
3. .705 
4. .900
5. .500

 

6. Over the last 100 business days, Harry had 20 customers on 30 of those days, 25   customers on 20 days, 35 customers on 30 days, 40 customers on 10 days, and 45       customers on 10 days. What is the variance of the number of Harry’s customers?

 

1. 30
2. 38
3. 59
4. 75
5. 83

 

7. What is the probability that exactly 1 out of 10 cars experience a breakdown if the probability of a breakdown is 30%?
8. .5121
9. .1211
10. .0282
11. .3828
12. .4276

 

 

8. An accounts receivable auditor is examining accounts for a client. The accounts     receivable balance can be considered as a continuous random variable that       exhibits normal distribution characteristics. The mean amount due per account is       $5000. The standard deviation is $1000. The auditor selects an account at random.

 

            The probability that the account selected by the Auditor has a balance which is outside     of the range between $6500 and $7000 is:

 

1. .05
2. .10
3. 1.20
4. .96
5. .00

 

9. Suppose the length of time (in days) between sales for an automobile salesperson   is          modeled as an exponential distribution with a mean of 2 days. What is the             probability       the salesperson goes more than 5 days without a sale? 

 

1. .75
2. .92
3. .08
4. .40
5. None of the above.

 

10. During lunch time, customers arrive at Joe’s Lunch counter according to a Poisson             distribution with an average of 2 per 30 second period. What is the probability of having      more than two arrivals in a two-minute period?

 

1. .9863
2. .9970
3. .0027

D         .7619

1. None of the above

 

 

Use the following to answer questions 11-12

 

The new owner of a beauty shop is trying to decide whether to hire one, two, or three beauticians. She estimates that profits next year (in thousands of dollars) will vary with demand for her services and has estimated demand in three categories low, medium and high.

 

NUMBER OF BEAUTICIANS	DEMAND
	LOW	MEDIUM	HIGH
One	50	75	100
Two	0	100	100
Three	100	70	300

 

11.   If she uses the optimistic criterion, how many beauticians will she decide to hire?
12.      one
13.      two
14.      three
15.      either one or two
16.      either two or three

 

12.   If she uses the minimax regret criterion, how many beauticians will she decide to hire?
13.      one
14.      two
15.      three
16.      either one or two
17.      either two or three

 

 

Use the following decision tree to respond to the next 5 questions:

 

13. 
    What is the expected value at node 4?

 

47.        47.50
48.        43.75
49. 70.00
50. 45.00
51. 71.25

 

14. What is the expected value of perfect information?

 

45. 45.00
46. 40.00
47. 10.00
48. 5.00
49. 49.25

 

15. What is the expected value at node 2?
16. 35.00
17. 7.50
18. 47.50
19. 49.50
20. 55.00

 

16. What is the best decision strategy for the manager?
17. Do not do the survey, select a large store
18. Do not do the survey, select a Small store
19. Do the survey. If the survey shows low demand then select a small store;

If the survey shows high demand then select a large store.

1. Do the survey. If the survey shows low demand then select a large store;

If the survey shows high demand then select a small store.

1. None of the above is correct

 

17. What is the expected value of sample information?
18. 45.00
19. 71.25
20. 49.50
21. 1.25
22. 4.50

 

 

18. A statistician working for a car manufacturer developed a statistical model for       predicting delivery time (the number of days between ordering a car and actual         delivery) of a particular model for which there is a range of factory-fitted options.  Use            the output below to forecast the difference in delivery times for cars with 6 options and     9 options, rounded to two decimal places.

 

4. 4.38
5. 3.28
6. 6.58
7. 9.84
8. 29.73

 

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.92
R Square	0.85
Adjusted R Square	0.83
Standard Error	4.38
Observations	10
Analysis of Variance
	df	SS
Regression	1	890.19
Residual	8	153.41
Total	9	1043.59
	Coefficients	Standard Error
Intercept	29.73	2.99
Factory-Fitted Options	3.28	0.48

 

 

19. Given the table below what is the MAD and the MSE?

 

Period	Actual	Forecast
1	95	100
2	108	110
3	123	120
4	130	130

 

 

MAD = ___________________     MSE = ___________________________

 

 

 

20. The Acme Computer Company has recorded sales of one of its products for a six-week period:  Using the three-week simple moving-average method, forecast sales for week 7.
21. 20
22. 21
23. 22
24. 23
25. 24

 

 

 

 

 

21. Shown below are data that reflect the number of daily traffic accidents at a dangerous city intersection. The regression equation is: number of accidents = 5.3 + 0.5 t

          What is the forecasted number of accidents for day 6?

                    Day (t)           number of accidents

                           1                     5       

                           2                      7    

                           3                     8

                           4                      6

                           5                      8

 

8. 8.0
9. 5.8
10. 8.3
11. 0.6
12. 9.0

 

 

22. The following table contains the number of consumer complaints received in a Publix supermarket in Florida.  Use exponential smoothing with a constant of α = 0.33 to forecast the number of complaints in March, round to the nearest whole number of complaints.

 

Month                 Number of Complaints

January                               36

February                             45

March                                 81

April                                   90

May                                  108

June                                  144

 

1. 39
2. 42
3. 45
4. 53
5. 64

 

For the next 3 questions, consider the following summary output from Microsoft Excel for a simple regression of Halliburton (ticker symbol HAL) weekly stock prices on the S&P500 stock index, for the period January 2004 through August 2006.

 

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.93
R Square	0.87
Adjusted R Square	0.86
Standard Error	3.20
Observations	140
ANOVA
	Df	SS	MS	F	Significance F
Regression	1	9067.88	9067.89	884.90	6.84E-62
Residual	138	1414.13	10.24
Total	139	10482.0
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
Intercept	-121.65	4.914	-24.74	1.37E-52	-131.37	-111.93
S&P500 Index	0.122	0.004	29.75	6.84E-62	0.11	0.13

 

23. According to the regression model, the correlation between Halliburton’s stock price and the S&P500 index value is:

 

1. Positive.
2. Negative.
3. Significant and either positive or negative.
4. Significant, but it cannot be determined whether the correlation is positive or negative.
5. Not significant.

 

24. The regression model ABOVE is:

 

1. Not significant, because the standard error of the intercept is high compared to the
   standard error of the independent variable.
2. Significant at the 0.01 level, because the coefficient of determination is less than 0.05.
3. Significant at the 0.05 level, because the p-value is less than 0.05.
4. Not significant, because the coefficient of determination is larger than 1.0.
5. Significant at the 0.01 level, because the t-statistic is negative.

 

25. According to the regression model ABOVE, when the S&P 500 index value is 1,000, the forecasted Halliburton stock price is:
26. $29.75/share.
27. $0.35/share.
28. $122/share.
29. $121.65/share.
30. Cannot be determined from the tabulated data.

 

 

The S&P index value must be ________ for the Halliburton stock to be priced at $24.75

 

 

 

 

 

 

 

26. Corporate AAA bond interest rates for 12 consecutive months are 9.5%, 9.3%, 9.4%, 9.6%, 9.8%, 9.7%, 9.8%, 10.5%, 9.9%, 9.7%, 9.6% and 9.6%. The three-month weighted moving average forecast (with weights 0.2, 0.4 and 0.4 - from oldest to most recent respectively) for the next month, rounded to two decimal places, is:

 

9. 9.60%
10. 9.65%
11. 9.70%
12. 9.62%
13. None of the above.

 

 

Questions 27 & 28 apply to this information: Quill Manufacturing Business makes two models of marking pens. An unlabeled graph for this problem and the requirements for each lot of pens in the three manufacturing departments are given below. All three departments are necessary in the production of both types of pens. The profit for either kind of pen is $1000 per lot.  An unlabeled graph for this problem is given below. The dotted line represents the objective function line.

 

	Fliptop Model	Tiptop Model	Available production hrs.
Ink Assembly	3	4	36
Molding Time	5	4	40
Plastic	5	2	30

 

 

27. What is the optimal production quantity of the Fliptop model?
28. 5 lots
29. 4 lots
30. 2 lots
31. 7 lots
32. 6 lots

 

 

28. If all the constraint inequalities in the original problem were ≥, then the following is true:

 

1. The value of the objective function at the optimum solution is zero
2. There will be multiple optimal solutions
3. The problem will become unbounded
4. The problem has a unique solution
5. None of the above is true

 

 

 

29. Let M be the number of units to make and B be the number of units to buy of a certain     product. If it costs $2 to make a unit and $3 to buy a unit and 4000 units are needed, the         objective function of the LP model to minimize the cost of    production would be,

 

1. Min 4000 (M + B)
2. Max 8000M + 12000B
3. Min 2M + 3B
4. Max 2M + 3B
5. Min 4000U -2M-3B

 

30.      The Quiet Meadow Studio sells photographs and prints.  It cost $20 to purchase each photograph and it takes 2 hours to frame it.  It costs $25 to purchase each print and it takes 5 hours to frame it.  The store has at most $400 to spend and   at most 60 hours to frame. 
    It makes $30 profit on each photograph and $50 profit on each print. Determine the maximum profit.

 

1. 360
2. 600
3. 700
4. 740
5. 800

   Questions 31 & 32 apply to this information:  Quality Bike Maps has produced four map designs for the local area. A limited amount of time (in minutes) is allocated to the printing, cutting and folding of each map. Additionally, at least one thousand of map designs A, B, and C must be printed.  The profit per map is $1 for A and B and $2 for C and D.  The Excel output is provided below. 

   Max Profit = A + B + 2 C + 2 D

   s.t.

              A + 2 B + 3 C + 3 D <   15000            Print

           2 A + 4 B +   C + 3 D <   20000             Cut

           3 A + 2 B + 5 C + 3 D <   20000            Fold

           A >   1000                                               Print A

           B >   1000                                               Print B

           C >   1000                                               Print C

          

   Microsoft Excel 14.0 Sensitivity Report
   	Objective Function Value  $10,166.67
   Variable Cells
   			Final	Reduced	Objective	Allowable	Allowable
   	Cell	Name	Value	Cost	Coefficient	Increase	Decrease
   	$B$18	Map A	1500	0	1	1	0.333333333
   	$C$18	Map B	1000	0	1	0.333333333	1E+30
   	$D$18	Map C	1000	0	2	0.333333333	1E+30
   	$E$18	Map D	2833.333333	0	2	1	0.5
   Constraints
   			Final	Shadow	Constraint	Allowable	Allowable
   	Cell	Name	Value	Price	R.H. Side	Increase	Decrease
   	$B$24	Print	15000	0.5	15000	1000	5666.666667
   	$B$25	Cut	16500	0	20000	1E+30	3500
   	$B$26	Fold	20000	0.166666667	20000	7000	1000
   	$B$27	Print A	1500	0	1000	500	1E+30
   	$B$28	Print B	1000	-0.33333333	1000	1750	1000
   	$B$29	Print C	1000	-0.33333333	1000	500	1000

    

   31. Answer the following question using the Excel output above. Which constraint(s) are binding?
   32. Print and Fold
   33. Cut and Print A
   34. Print B and Print C
   35. Print and Cut
   36. Print, Fold, Print B and Print C

    

   32. Answer the following question using the Excel output above. Keeping within the confines of the problem, the profit on Map A has increased by one dollar.  Determine the new objective function value.

    

   1. 1,500
   2. 11,166.67
   3. 11,500.67
   4. 11,666.67
   5. 12,566.67

    

   33. Quentin Magic Brown manufactures sports shoes and wants to maximize the company's profits. The company makes two types of sport shoe, Airwalkers and Bouncy Basketball shoes.  The company earns $10 profit on each pair of Airwalkers and $18 profit on each pair of Bouncy Basketball shoes.
       The manufacturing process includes cutting the materials on a machine and having workers assemble the pieces.  Each pair of Airwalkers requires 3 minutes of cutting time and the Bouncy Basketball shoes require 2 minutes. The machines that cut the material can run at most 1200 minutes a week.
       Each worker takes 7 hours to assemble a pair of Airwalkers and 8 hours to assemble a pair of Bouncy Basketball shoes; the maximum number of hours available is 3500 per week. 
       Determine the maximum profit for this problem? 

    

   1. $3200
   2. $4000
   3. $4280
   4. $6295
   5. $7875

    

   Questions 34-37 apply to the Excel output for the Quantum Mo-Botics model is below. The company makes three types of machines and has limitations with regards to the amount of skilled and unskilled labor hours available and time on the assembly line.

    

   MAX Profit = 800SemiAuto+1000Robotic + 500Manual

   s.t.

                            30SemiAuto + 100Robotic + 45Manual <4500  Skilled Labor

                           100SemiAuto + 70Robotic + 90Manual  < 9000  Unskilled Labor

                            15SemiAuto +  20Robotic + 10Manual  < 2000  Assembly Line

    

   Microsoft Excel 14.0 Sensitivity Report
   Objective Function Value			$ 82,025.32
   Variable Cells
   			Final	Reduced	Objective	Allowable	Allowable
   	Cell	Name	Value	Cost	Coefficient	Increase	Decrease
   	$B$18	SemiAuto	74.05063291	0	800	628.5714286	432.4786325
   	$C$18	Robotic	22.78481013	0	1000	1666.666667	440
   	$D$18	Manual	0	-320.253164	500	320.2531646	1E+30
   Constraints
   			Final	Shadow	Constraint	Allowable	Allowable
   	Cell	Name	Value	Price	R.H. Side	Increase	Decrease
   	$B$24	Skilled labor	4500	5.569620253	4500	3605.263158	1800
   	$B$25	Unskilled labor	9000	6.329113924	9000	3805.555556	5850
   	$B$26	Assembly line	1566.455696	0	2000	1E+30	433.5443038

   34.       Answer the following question using the Excel output above, determine the new objective function value if the profit on the second variable, Robotic, increases by $1000?

    

   785. $22,785.00
   786. $19,125.64
   787. $33,800.00
   788. $102,805.32
   789. $104,810.32

    

   35.       Answer the following question using the Excel output above. Keeping within the confines of the problem, you are required to hire a full time (40 hours) person who is qualified to work in any department. Select the constraint where you will gain the most profit and determine the additional profit to be gained?

    

   253. $253.16
   254. $222.80
   255. $341.00
   256. $129.50
   257. $119.50

    

   36.       Answer the following question using the Exceloutput above. Keeping within the confines of the problem, how many more hours of skilled workers could you add to the      department?

    

   2875. 2875.33
   2876. 1280.56
   2877. 1550.56
   2878. 3805.56
   2879. 3605.26

    

   37.       Using the Excel output above, how much is each additional unit of unskilled labor worth?

    

   74. $74.500
   75. $22.790
   76. $5.570
   77. $6.329
   78. $3.250

    

    

   38. An ice cream plant make’s Chocolate and Strawberry ice cream.
       There is $40 profit for a case of Chocolate and $32 for a case of Strawberry and has the following constraints:

    

                           32C + 8S   < 4,800      Flavoring

                           28C + 32S < 14,000    Coloring

    

    

   1. What is the optimal solution?
   2. Now add a constraint: demand for Strawberry is always less than 200 cases and determine the optimal solution.
   3. Add another constraint: demand for Chocolate is always less than 400 cases and determine the optimal solution.

    

   39. Using the decision table below
       a. Determine the expected value for the best decision
       b. Determine the most you would pay for a highly reliable forecast.
       
       

   	0.2	0.7	0.1
   	S1	S2	S3
   D1	500	300	-400
   D2	600	200	200
   D3	-100	-300	900

    

    

    

    

    

    

   40.       In a survey about soft drinks it was found that 5% of the respondents like diet soft drinks. 
       12% of them liked the brand Coke.  Of all the Diet soda drinkers 40% liked Coke.
       a. What is the probability that a respondent like Coke and Diet drinks?
       b. What is the probability that the respondent like Diet or not Coke?
       c. Of the people who did not like diet drinks what is the probability that that liked Coke?