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Saturday, August 01, 2020

CMA FOUNDATION: PAPER 4 FUNDAMENTALS OF BUSINESS MATHEMATICS AND STATISTICS | SYLLABUS AND QUESTION PAPER PATTERN


PAPER – 4: FUNDAMENTALS OF BUSINESS MATHEMATICS AND STATISTICS
Section A : Fundamentals of Business Mathematics
Section B : Fundamentals of Business Statistics
1. Arithmetic 20%
2. Algebra 20%
3. Statistical representation of Data 10%
4. Measures of Central Tendency and Dispersion 30%
5. Correlation and Regression 10%
6. Probability 10%
Section A: Fundamentals of Business Mathematics [40 Marks]
Section A is divided into two parts.

First part consists of total 15 short answer type questions which are summarised as follow:
Type of Questions
No. of Questions
Total Marks
Multiple Choice Questions
9 Questions carrying 2 marks each
9x2=18
True or False
6 Questions
6x1 = 6
Total Marks
24
Second part consist of total 16 marks in which you have to attempt 4 questions carrying 4 marks each out of 6 given questions.
Section B: Fundamentals of Business Statistics [60 Marks]
Section B is divided into two parts.
First part consists of total 30 short answer type questions which are summarised as follow:
Type of Questions
No. of Questions
Total Marks
Multiple Choice Questions
12 Questions carrying 2 marks each
12x2=24
True or False
12 Questions
12x1 = 12
Total Marks
36
Second part consist of total 24 marks in which you have to attempt 4 questions carrying 6 marks each out of 6 given questions.
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Detailed Syllabus
Section A: Fundamentals of Business Mathematics [40 Marks]
1. Arithmetic
(a) Ratios, Variations and Proportions
(b) Simple and Compound interest
(c) Arithmetic Progression and Geometric Progression.
2. Algebra
(a) Set Theory
(b) Indices and Logarithms (basic concepts)
(c) Permutation and Combinations (basic concepts)
(d) Quadratic Equations (basic concepts)
Section B: Fundamentals of Business Statistics [60 Marks]
3. Statistical Representation of Data
(a) Diagrammatic representation of data
(b) Frequency distribution
(c) Graphical representation of Frequency Distribution – Histogram, Frequency Polygon Curve, Ogive, Pie-chart
4. Measures of Central Tendency and Dispersion
(a) Mean, Median, Mode, Mean Deviation
(b) Range, Quartiles and Quartile Deviation
(c) Standard Deviation
(d) Co-efficient of Variation
(e) Karl Pearson and Bowley’s Co-efficient of Skewness
5. Correlation and Regression
(a) Scatter diagram
(b) Karl Pearson’s Coefficient of Correlation
(c) Regression lines, Regression equations, Regression coefficients
6. Probability
(a) Independent and dependent events; mutually exclusive events
(b) Total and Compound Probability; Baye’s theorem; Mathematical Expectation

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