Shuchita Solved Scanner CMA Foundation Paper 3 Fundamentals of Business Mathematics and Statistics Dec 26 & June 27

Scanner CMA Foundation Fundamentals of Business Mathematics Dec 26 & June 27

Scanner CMA Foundation Fundamentals of Business Mathematics Dec 26 & June 27

📌 Key Highlights:

✅ Covers ICMAI content (Solved Questions from past 24 exams with June 26 Ques.)
✅ 7 MQPs with Solution
✅ Star Rating of Chapters with ABC Analysis for focused prep
✅ MCQs with Crisp Explanations
✅ Video study material Provided on LMS
✅ Question-type classification: MCQs (Multiple Choice Question) • PYQs (Past Year Question)

✅  Unique trend tools: Chapter Marks Trend Graph / Chapter-Wise Marks Analysis / Paper Trend Analysis (Last 1 Attempt)

 📘 Content Coverage:

Section A: Fundamentals of Business Mathematics

Module 1: Arithmetic
Ratios, Variations and Proportions
Time Value of Money and Annuity – Simple and Compound Interest
Arithmetic Progression and Geometric Progression
Time and Distance

Module 2: Algebra
Set Theory and Venn Diagram
Indices and Logarithms
Permutation and Combinations
Quadratic Equation

Module 3: Calculus – Application in Business
Concept of Calculus and Its Application in Business
Revenue and Cost Function
Optimization Techniques

Section B: Fundamentals of Business Statistics

Module 4: Statistical Representation of Data
Introduction
Diagrammatic Representation of Data
Frequency Distribution
Graphical Representation of Frequency Distribution
Histogram, Frequency Polygon, Curve, Ogive, Pie-Chart

Module 5: Measures of Central Tendency and Dispersion
Mean, Median, Mode, Mean Deviation
Range, Quartiles and Quartile Deviation
Standard Deviation
Coefficient of Variation
Karl Pearson and Bowley’s Co-efficient of Skewness

Module 6: Correlation and Regression
Scatter Diagram
Karl Pearson’s Co-efficient of Correlation
Regression Analysis

Module 7: Probability
Concepts and Terminologies
Primary Applications of Probability Theorems

Module 8: Index Number and Time Series
Uses of Index Numbers, Methods of Construction of Index Number
Components of Time Series and Calculation of Trend by Moving Average Method…and much more