CPA Quantitative Analysis – Pilot December 2021 Past Paper & Answers

Unit: Quantitative Analysis

10 Questions

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Questions

Download CPA Quantitative Analysis Pilot December 2021 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.

Correlation and Regression Analysis

Mashariki Enterprises started business in January 2018 selling photo copiers in the City. The following information relates to sales and enquiries made during the year ended 31 December 2020.

Sales calls (x)	Copiers sold (y)
96	41
40	41
104	51
128	60
164	61
76	29
72	39
88	50
36	28
84	43
180	70
132	56

Required:

Derive the regression equation of y on x.

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Correlation and Regression Analysis

Explain four characteristics of Karl Pearson coefficient of correlation.

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Probability

An electronics dealer in Nakuru has labelled a certain electrical component with numbers 1 – 50. These components are normally sold to 5 specific customers who pick one each on week days only. Incidentally, the components labelled numbers 3, 18, 12, 26 and 46 are defective.

Required:

(a) The probability that one customer will have drawn five defective components by the end of 5 weeks.

(b) The probability that two customers will have drawn two defective components each, two none and the other components, in two weeks.

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Hypothesis Testing and Estimation

Explain the difference between the following terms:

(i) Type 1 and Type II errors.

(ii) One-tail test and two-tail test.

(iii) Normal distribution and t-distribution.

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Hypothesis Testing and Estimation

The manufacturer of the TyroX radical truck tyre claims that the mean mileage the tyre can be driven before the

thread wears out is 60,000 km, assuming the mileage wear follows the normal distribution and a standard deviation

of 5,000 km. In a sample of 48 tyres, the mileage was found to be 59,500 km.

Required:

Test whether this observation is different from the claim by the manufacturer at 5% significance level

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Mathematical Techniques

Agro manufacturers produce three products; Chat, Item and Wit (in thousands) whose demand and cost functions are given as follows:

Chat: AR = 16 – 3Q ; ATC = 4Q + 8

Item: P = 10 – Q – \(2Q^2\) ; ATC = Q + 4

Wit: P = 100 – ½Q ; ATC = 300 + 2Q – 2\(Q^2\)

Required:

(a) Output and price levels that will maximize profits.

(b) Maximum profit for each product.

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Mathematical Techniques

The frequency distribution of after tax earnings for Applewood Ltd. for 180 months to 31 December 2020 was as follows:

Profit after tax Sh.“000” (X)	Frequency (f)
20,000 ≤ x < 60,000	8
60,000 ≤ x < 100,000	11
100,000 ≤ x < 140,000	23
140,000 ≤ x < 180,000	38
180,000 ≤ x < 220,000	45
220,000 ≤ x < 260,000	32
260,000 ≤ x < 300,000	19
300,000 ≤ x < 340,000	4

Required:

(a) Modify the formula given below for median to derive another one for:

(i) 25th percentile of the distribution.

(ii) 75th percentile of the distribution.

(Ensure to indicate what each of the symbols used stand for)

(b) Evaluate:

(i) 2 nd decile of the distribution.

(ii) 8 th decile of the distribution.

\(L = \left[{\large \frac{\frac{n}{2} - C}{f}} \right] ^i\)

Where:

L = Lower class boundary of the median class

n = Sample size

C = Cumulative frequency of the class below the median class

f = Frequency of the median class

i + Class interval.

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Linear programming

Write short notes on the following formulas in relation to time series analysis:

(i) Y = T x C x S x I

(ii) \(Y_T = b_o + b_{Ix}\)

(iii) \(ln Y_T = ln b_o + ln b_I\)

(iv) \(bI ={\large \frac{\sum{xy} – n\bar{X}\bar{Y}}{ \sum{x^2} – n\bar{X}^2}}\)

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Linear programming

Explain the process of exponential smoothing.

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Linear programming

In the context of linear programming, explain each of the following:

(a) Constrained optimisation.

(b) Inequality constraints.

(d) Constrained minimisation.

(e) Non-negativity constraints.

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CPA Quantitative Analysis – Pilot December 2021 Past Paper & Answers

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CPA Quantitative Analysis – Pilot December 2021 Past Paper & Answers

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