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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.

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.

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

i)       If Martha is an optimist which investment should she choose?

ii)      If Martha is a pessimist which investment should she choose?

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

iv)    If Martha believes that there is a 65% chance of a good economy which investment should she choose?

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

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

 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. Cost of information charged by the consultant is $3500.

b)      Revise the prior probabilities in light of the consultant's track record.

c)       What is the posterior probability of good demand given that the consultant has indicated demand will be good?

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.

A general practice has a nurse to attend patients with wounds and who need vaccinations.wages of the nurse is $12.50. 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

40

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.

QUESTION 4 Regression Analysis and Cost Estimation

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

 

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?

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.

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

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.

a)      Calculate the unit contribution margin for each product.

b)      This year the manufacturer will specialise in making only Connect32 phones. How many does he need to sell to    break even?

c)       If Connect32 phones are still the only product what is the breakeven sales volume for the year in sales dollars?

d)      He now decides to manufacture both phones this year in the ratio of 3 Connect64 to 1 Connect32.

                     i.     How many of each phone must be sold to earn a profit of $195,000 before tax for the year?

                     ii.    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?

Marking criteria

Assessment Item 3
The criteria described below will not apply to all parts of all questions but describe the standards expected where the question requirements are appropriate. It is expected that all students will complete their own work with no collusion with other students. 

Criteria

High Distinction

Distinction

Credit

Pass

Apply decision analysis to business situations

Completely correct application of rational decision making techniques to business problems including ability to evaluate further information prior to decisions

Mostly correct application of rational decision making techniques to business problems including the correct evaluation of further information prior to decisions

Some difficulty in correctly applying rational decision making techniques to business problems including somewhat correct evaluation of further information prior to decisions

Weakness in applying rational decision making techniques to business problems and difficulty in evaluating further information prior to decisions

Use simulation in complex decisions

Completely correct use of Excel to simulate decision situations involving probabilistic states of nature

Mostly correct use of Excel to simulate decision situations involving probabilistic states of nature

Few errors in use of Excel to simulate decision situations involving probabilistic states of nature

Some weakness in use of Excel to simulate decision situations involving probabilistic states of nature

Hypothesis testing in regression analysis

Completely correct application of t-tests to determine significance of independent variables

Mostly correct application of t-tests to determine significance of independent variables

Some difficulty in correctly applying t-tests to determine significance of independent variables

Weakness exhibited in understanding the application of t-tests to determine significance of independent variables

Apply CVP analysis to product mix decisions

Correct use of CVP analysis to single and multi-product firms

Mostly correct use of CVP analysis to single and multi-product firms

Correct use of CVP analysis to single product firms but some difficulty with multi-product firms

Mostly correct use of CVP analysis to single product firms but less confident with multi-product firms

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