### CMA Foundation

### PAPERS & CONTENTS

### CMA Foundation

### PAPERS & CONTENTS

Syllabus 2016 – Foundation Course:

**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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