DECISION SUPPORT TOOLS

QUESTION 1 Decision Analysis

 

Show all calculations to support your answers. You may follow the methods shown in the mp4 on Decision Analysis for a way to do part (b) of this question if you wish.

 

20 marks – 10 for (a), 10 for (b).

 

1. a)      People frequently use three heuristics to assess probabilities and to predict values. Identify and describe these heuristics and identify and explain a bias to which each of these heuristics lead.

 

1. b)      Martha Jones is considering investing money in three alternative investments over a one-year period. Below are the expected profits from each investment given assumptions about the state of the economy:

 

Decision Alternative	Good Economy	Poor Economy
Stock market	$200,000	-$60,000
Bonds	$80,000	$45,000
Term deposit	$45,000	$35,000

 

1. i)       If Martha is an optimist which investment should she choose?
2. ii)      If Martha is a pessimist which investment should she choose?

iii)     Following the criterion of regret which investment should she choose?

1. iv)     If Martha believes that there is a 65% chance of a good economy which investment should she choose?
2. v)      What is the expected value of perfect information about the state of the economy?

 

QUESTION 2 Value of information

 

Show all calculations to support your answers. You may follow the methods shown in the mp4 on

Value of info for a way to answer this question if you wish.

 

20 marks – 4 for (a), 8 for (b), 2 for (c), 6 for (d)

 

A manufacturer is trying to choose between two production methods (a1 and a2) for a new product. He considers that the probability of demand for the new product being good (s1) is 0.3 and the probability that demand will be poor (s2) is 0.7.

In evaluating the two production methods the manufacturer has calculated the following table of conditional profits:

 

	s1	s2
a1	30,000	16,000
a2	10,000	24,000

 

1. a)      Which production method should be used? Show calculations.

 

The manufacturer asks a marketing consult for an opinion as to whether demand will be good or poor. From previous experience when the consultant has indicated that demand will be good she has been right 80% of the time, and when she has indicated that demand will be poor she has been right 65% of the time.

 

1. b)      Revise the prior probabilities in light of the consultant’s track record.
2. c)       What is the posterior probability of good demand given that the consultant has indicated demand will be good?
3. d)      What is the expected net gain or loss from engaging the consultant? Should the consultant be engaged? Explain the reasoning for your answer.

 

QUESTION 3 Simulation

 

This is a work integrated assessment item. The tasks are similar to what would be carried out in the workplace.

 

10 marks

 

A general practice has a nurse to attend patients with wounds and who need vaccinations. From an analysis of one week’s operation of the nursing service the following data were derived:

 

Time between arrivals	Number of occasions
10	10
15	20
20	25
25	30
30	15

 

Service time (minutes)	Number of occasions
10	40
15	20
20	20
30	10
30	10

 

Using Excel set up a simulation model to simulate about 2 hours (120 minutes) from time zero, and determine whether one nurse is sufficient or whether a second nurse is needed in the practice.

 

Show the data and the model in two printouts: (1) the results, and (2) the formulas. Both printouts

must show row and column numbers and be copied from Excel into Word. See Spreadsheet Advice in

Interact Resources for guidance.

 

QUESTION 4 Regression Analysis and Cost Estimation

 

20 marks – 4 for (a), 12 for (b), 4 for (c).

Quick Copy has recorded the following Maintenance Costs and two possible cost drivers over the last year.

 

Month	Number of photocopies	Hours of maintenance service	Maintenance costs
January	80,000	525	4,710
February	68,000	505	4,310
March	69,000	310	2,990
April	64,000	495	4,200
May	90,000	315	3,000
June	85,000	485	4,215
July	55,000	315	2,950
August	85,000	405	3,680
September	62,000	475	4,100
October	82,000	345	3,250
November	60,000	350	3,260
December	70,000	335	3,015

 

1. a)      Using the High-Low method of cost estimation and Number of Photocopies as the cost driver, what would be the resulting cost equation for Maintenance Costs?

 

1. b)      Using Excel, perform three regression analyses to regress Maintenance Costs against Number of Photocopies, then against number of Hours of Maintenance Service, then against both of them simultaneously. Paste your results into Word. State the cost equation from each. Prepare a report to management including an analysis and comment on the results of each regression with a reasoned recommendation of the best cost driver to use in the future.

 

1. c)       If the simple regression using Number of Photocopies were adopted, what would be the predicted overhead in a month when there were 85,000 photocopies and 500 hours of maintenance service?

 

QUESTION 5 CVP Analysis

 

20 marks – 4 for (a), 4 for (b), 4 for (c), 8 for (d).

 

A smart phone manufacturer makes two types of smart phones, Connect32 and Connect64. He has sales staff who sell the phones on commission. The following data are available:

 

Product	Sales Price	Variable Production Cost	Sales Commission
Connect32	$600	$100	$20
Connect64	$850	$375	$35

 

Fixed costs per annum are $120,000.

 

1. a)      Calculate the unit contribution margin for each product.
2. b)      This year the manufacturer will specialise in making only Connect32 phones. How many does he need to sell to    break even?
3. c)       If Connect32 phones are still the only product what is the breakeven sales volume for the year in sales dollars?
4. d)      He now decides to manufacture both phones this year in the ratio of 3 Connect64 to 1 Connect32.
5. How many of each phone must be sold to earn a profit of $195,000 before tax for the year?
6. How many of each phone must be sold to earn a profit of $140,000 after tax (of 30c in the dollar) for the year?

 

 

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