CPA › Quantitative Analysis › November 2019

CPA Quantitative Analysis – November 2019 Past Paper & Answers

Unit: Quantitative Analysis

16 Questions

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Questions

Download CPA Quantitative Analysis November 2019 past paper with detailed answers and marking scheme. This paper is based on KASNEB examination standards and is ideal for revision and exam preparation.

Access the full paper online, download the PDF, or study offline. Each question includes step-by-step solutions to help you understand key concepts in Quantitative Analysis.

1a

Decision Theory

Business analytics is today emerging as a critical component of driving and sustaining business growth, particularly in the face of rising competition and other market dynamics.

Required:

In the context of the above statement, describe what "business analytics" entails.

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1b

Probability

Six consultants work for XYZ Ltd. A consultant has a 20% chanice of being absent from work in a given day. The company needs to establish the probability of more than two consultants being absent from work.

Required:

Compute the above probability of absence assuming:

(i) A binomial distribution.

(ii) A Poisson distribution.

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1c

Mathematical Techniques - Matrix Algebra

A small economy has two sectors, X₁ and X2 producing a single product for their internal and external demand (in units), as summarised in the following transaction matrix.

Production sector	Purchase sector		Consumer demand
	X1	X2
X1	500	800	200
X2	600	1,400	400

The projected consumer demand changes to 400 units and 800 units for sector X₁ and X2 respectively.

Required:

The required gross output of each sector in order to meet the new demand.

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2a

Mathematical Techniques - Calculus

The profit function (in Sh. "000") for a given company is given as:

Profit = 10x -x²- 5

Where x represents time in months.

Required:

(i) Cumulative profit in the break-even time interval.

(ii) The best time to end the production.

(iii) The total profit based on your result in (a) (ii) above.

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2b

Hypothesis Testing and Estimation

A manufacturing company is testing a plant for acceptance. For the plant to be accepted, the mean reflectometer reading should be 19.5 and above.

A random sample of 25 readings is taken and found to have a mean of 19.7 with a standard deviation of 1.5

Required:

Test at 95% level of confidence whether the company should accept the new plant.

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2c

Decision Theory

Explain two advantages and two disadvantages of decision trees as used in decision theory.

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2d

Decision Theory

A bank teller can open new accounts at an average rate of 3 accounts per hour. Customers requiring to open an account arrive at an average rate of 2 customers per hour.

The management of the bank has established a single channel single phase queuing system.

Required:

(i) The average number of customers in the system.

(ii) The average time spent by a customer in the system.

(iii) The average number of customers in the queue.

(iv) The utilisation factor of the service utility.

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3a

Time series

In the context of time series analysis, describe three differences between "additive" and "multiplicative" models.

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3b

Regression Analysis

A small business is interested in establishing the relationship between the number of hits on its website (measured by number of visitors that have used the main menu) and the amount spent in website promotion (in Sh. "000").

The table below gives the figures for the last six months:

Month	Website hits	Website promotion (Ksh. "000")
1	24	1.0
2	25	1.2
3	56	1.6
4	54	1.4
5	55	1.2
6	58	1.8

Required:

(i) Illustrate, using a graph, the number of website hits against the amount spent in website promotion. Comment on any relationship between website hits and the extent of promotion.

(ii) Calculate the correlation coefficient and give an interpretation to its value.

(iii) Determine the regression line.

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4a

Decision Theory

(i) Explain the meaning of a "transition matrix'
(ii) Outline two features of a transition matrix.

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4b

Mathematical Techniques - Matrix Algebra

A chemical reaction in a processing plant is given by:

K = T² \(p^{-1}\) where:

T is an input matrix.

\(p^{-1}\) is an inverse of matrix P.

K is an output matrix.

Given that T = \(\begin{bmatrix} 2 & 4\\ 2 & 0 \end{bmatrix}\) and

P =\(\begin{bmatrix} 1 & 7\\ 0 & 4 \end{bmatrix}\)

Required:

Calculate the output matrix K.

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4c

Decision Theory

Kikwetu Company Ltd. is the sole producer of 3 cosmetic products; Meta, Nzuri and Safi which currently have a market share of 40%, 40% and 20% respectively. Each week, some brand switching takes place. Of those who bought Meta the previous week, 60% buy it again while 20% switch to Nzuri and 20% to Safi. Of those who bought Nzuri the previous week, 50% buy it again while 40% switch to Meta and 10% to Safi. Of those who bought Safi, 80% remain loyal while 10% switch to Meta and 10% to Nzuri.

Required:

(i) Construct a probability transition matrix of the switching probabilities.

(ii) Construct a vector to represent the initial market share in percentages.

(iii) Calculate a new market share a week after the current market share.

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4d

Decision Theory

Simulation models have various applications in business.

Required:

Discuss how simulation models can be applied in:

(i) Predicting business outcome.

(ii) Managing business risks.

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5a

Decision Theory

A businessman has three alternatives open to him, each of which can be followed by any of the five payoff conditional possible events (in millions of shillings) as given below.

Pay off conditional on events
Alternative	E1	E2	E3	E4	E5
A	6	2	-2	-12	4
B	-6	-3	10	16	0
C	12	8	4	0	6

Required:

Advise the businessman on the best alternative under:

(i) Maximin criterion.

(ii) Maximax criterion.

(iii) The Hurwitz criterion, assuming a degree of optimism of 0.6.

(iv) Laplace criterion.

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5b

Linear programming

A manufacturing firm produces two products, X and Y. The standard revenues and costs per unit of the products are as follows:

	Product
	X		Y
	Sh.	Sh.	Sh.	Sh.
Selling price		400		360
Variable costs:
Material B (Sh.20 per kg)	80		80
Direct labour (Sh.16 per hour)	64		32
Packing (Sh.24 per hour)	24		48
Other variables	152	(320)	140	(300)
Fixed overhead (Sh.14 per hour direct labour)		(56)		(28)
Standard profit		24		32

Additional information:

1. Packaging is a separate automated task and the cost relates to materials and electricity.

2. The maximum available inputs per week are limited as follows:

Material В 240 kg

Direct labour 200 hours

Packaging time 100 hours

3. The profit ofthe company could be increased by increasing the selling price of product Y.

Required:

(i) Formulate and solve the above Linear programming model graphically.

(ii) Determine the maximum selling price of Product Y at which the solution in (b) (i) above would still remain optimal.

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5c

Regression Analysis

John Wekesa is the manager at Mikate Bakers Ltd. He intends to establish the cost of each bread. He gathers the following data on the total cost of each day's production for the last 10 days as shown in the table below:

Day	Number of units of bread (in hundreds)	Total cost (Sh."000")
1	45	46
2	42	43.2
3	55	46.6
4	43	48
5	60	56.4
6	40	44.8
7	48	46.2
8	53	50.6
9	36.6	40.2
10	34	33

Required:

(i) The total cost function using the least squares method.

(ii) If each bread is sold at Sh.50, predict the break-even number of units of bread.

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