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November 2015

Unit: Quantitative Analysis

13 Questions

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Questions

1a
Mathematical Techniques - Matrix Algebra
Star Manufacturers Limited specialises in the production of two products, A and B. The manufacturer sells the products at a fixed selling price to its customers. The following table shows the requirements for production of products A and B:

Product

Material (Kilogrammes)
Labour (Hours)
A
5
3
B
7
4
Available resources
13,400
7,800

Product A is sold for Sh.2.080 per unit whereas product B is sold for Sh.7.939 per unit. The variable costs of production are uncertain with the following margins of error:

Product

Labour/Hour (Sh.)
Material/Kilogramme (Sh.)
A
140
236
B
265
710
Error
±10%
±5%

Required:
Using matrix algebra, determine:

(i) The total expected revenue.
(ii) The expected maximum profit.
(iii) The expected minimum profit.
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1b
Mathematical Techniques - Descriptive Statistics
​​Apex Limited is planning to launch a new product in the market. It has undertaken a survey on the product's colour. brand name and packaging. The company sent questionnaires to 200 potential customers to obtain their views on the three attributes of the product. The results were as follows:

  • 24 persons liked the packaging and the brand name.
  • 77 persons liked the brand name or the colour but did not like the packaging.
  • 40 persons liked the colour only.
  • 120 persons liked the colour or the brand name.
  • 23 persons liked the colour and the packaging.
  • 43 persons liked at least two of the three attributes.
  • 5 persons did not like any of the three attributes.
  • The questionnaires of 25 persons were not received back.

The company's policy is to incorporate an attribute in the product if at least 50 per cent of the respondents liked the attribute.

Required:
(i) Present the above information in a venn diagram.

(ii) Number of persons that liked all the three attributes.

(iii) Proportion of persons that liked the colour.

(iv) Proportion of persons that liked the brand name.

(v) Proportion of persons that liked the packaging.

(vi) Attribute(s) to be incorporated in the product.
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2a
Mathematical Techniques - Calculus
​​Explain how differential calculus could be used in solving optimisation problems.
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2b
Mathematical Techniques - Calculus
​​The marginal cost and demand functions for Ujenzi Limited are given as follows:

MC = 2𝑥 + 16 (in Sh.million)

and

P = 𝑥² - 24 x 117 (in Sh.million)

Where:

MC is the marginal cost function

P is the price of a building constructed

𝑥 is the number of buildings constructed in a year.

The total annual fixed costs of the company amount to Sh.39 million.

Required:
(i) The profit function.
(ii) The selling price per building constructed that will maximise profit
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2c
Time series
The data below show the number of cars imported by a certain car dealer over a four-year period:

Year
2011
2012
2013
2014
Quarter 1
20
21
23
27
Quarter 2
32
42
39
39
Quarter 3
62
75
77
92
Quarter 4
29
31
48
53

Required:
(i) The trend equation, using the least squares method.

(ii) Average seasonal index for each quarter using the multiplicative model.

(iii) Year 2015 seasonally adjusted import forecasts for each quarter.
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3a
Decision Theory
​​Outline four applications of the programme evaluation and review technique (PERT) in the planning and management of projects.
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3b
Regression Analysis
The table below relates to the number of units packaged by nine casual employees of Bidii Limited and the packaging time taken by each of the employees:

Number of units packaged
Time (seconds)
14
230
8
110
9
130
12
190
6
109
11
181
10
154
5
79
10
144

Required:
(i) The regression line of packaging time against the number of units packaged.
(ii) The product moment correlation coefficient.
(iii) The standard error of estimate.
(iv) A 95 per cent interval estimate of the regression line.
(v) The packaging time interval for 7 units.
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4a
Decision Theory
​​Explain the following terms as used in game theory:

(i) Pure strategy.
(ii) Saddle point.
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4b
Linear programming
​​Highlight four applications of linear programming in business.
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4c
Decision Theory
Quick Works Limited deals in the provision of typing services. On average, a typist at the company receives 22 letters per day for typing. The typist works for 8 hours a day and it takes an average of 20 minutes to type a letter. The company has determined that the cost of a letter waiting to be typed is Sh.8 per hour and the typing equipment operating cost plus the salary of the typist amount to Sh.400 per day. In an attempt to improve on the letter typing service, the company is planning to lease one of the two models of automated typewriters to be used together with the existing typing equipment. The additional cost per day and the increase in typist's efficiency of the two models is as given below:

Model
I
II
Additional cost per day (Sh.)
370
390
Increase in typist's efficiency (%)
50
75

Required:
Advise the company on the action that it should take in order to minimise the total daily cost.
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4d
Decision Theory
Jane Cherop was employed by Golden Houses Limited as a sales agent last year. During the year, she was able to sell up to a maximum of 6 houses in a month. Due to good performance in the past year, the company has offered Jane Cherop one of the following three salary plans for the next year:

Plan A: A 25 per cent salary increament to Sh.50,000 per month.

Plan B: A fixed monthly salary of Sh.20,000 per month plus a commission of Sh.12.000 per house sold.

Plan C: No monthly salary but a commission of Sh.20.000 per house sold.

Required:
(i) The optimal salary plan for Jane Cherop based on the maximin criterion.

(ii) The optimal salary plan for Jane Cherop based on the minimax regret criterion.

(iii) Assume that during the past year, the distribution of the houses sold by Jane Cherop for the twelve months was as follows:

Number of house sold
Number of months
0
1
1
2
2
1
3
2
4
1
5
3
6
2

Advise Jane Cherop on the optimal salary plan based on the expected value criterion.
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5a
Decision Theory
​​A simulation model attempts to describe a business system using a number of equations. These equations are characterised by four types of variables.

Required:
With reference to the above statement, explain the four types of variables in a simulation equation.
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5b
Probability
The table below shows the probability distribution of the number of digital boxes sold by an electronics store on a daily basis:

Digital boxes sold (units)
Probability
0
0.05
1
0.05
2
0.10
3
0.15
4
0.20
5
0.15
6
0.15
7
0.10
8
0.05

Required:
(i) The probability that the number of digital boxes sold in a given day is at least 3 but less than 7.

(ii) The mean daily sales of digital boxes.

(iii) The standard deviation of digital boxes daily sales.
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