"Scanner is a chapter-wise book packed with past exam questions, solved answers, trend analysis, and revision aids to help you focus on what matters most."
CMA Foundation Paper - 3 Fundamentals of Business Mathematics and Statistics For Dec. 26, June 27
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📘 CMA Foundation – Paper 3 Fundamentals of Business Mathematics and Statistics Scanner (27th Edition)
For Dec. 26 & June 27 Exams
📚 Publisher: Shuchita Prakashan Pvt. Ltd. | Scanner Series
Smarter than a question bank—this Scanner shows what to study and where to focus with ICMAI -aligned content, trend insights, and fully updated solutions.
📌 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
Who is This Book For?
• First-time students who want structured guidance
• Repeaters who need trend-based insights
• Anyone looking for topic-wise clarity—not just solved Qs
🛒 Buy now and make your exam prep a strategic journey, not a guessing game.