Taxmann Cracker - Fundamentals of Business Mathematics & Statistics Book for CMA Foundation by Tarun Agarwal

This book caters specifically to the requirements of the Foundation Level Cost & Management Accountancy Examination, offering a thorough collection of past exam questions with detailed answers, all aligned with the latest ICMAI syllabus.

The Present Publication is the 3^rd Edition for the CMA Foundation | Dec. 2025/June 2026 Exams. This book is authored by CA. Tarun Agarwal, with the following noteworthy features:

• [Aligned with the Latest ICMAI Syllabus] Complete adherence to the current curriculum
• [Comprehensive Content]
  • Fully Solved Past Examination Questions till June 2025
  • Tabular summaries at the start of each chapter
  • 1000+ MCQs
  • Practice questions at the end of every chapter for in-depth preparation.
  • Descriptive past exam questions transformed into MCQs, reflecting the latest exam pattern
• [Detailed & Structured Answers] Designed to enhance conceptual clarity and support exam-focused study
• [Point-wise Presentation] Facilitates quick recall and efficient revision
• [Marks Distribution Analysis] Provides module-wise marks analysis from June 2023 onwards
• [Comparison with ICMAI's Study Material] is provided module-wise

The contents of this book are as follows:

• Arithmetic
  • Ratios, Variations and Proportions
  • Time Value of Money and Annuity – Simple and Compound Interest
  • Arithmetic Progression and Geometric Progression
  • Time and Distance
• Algebra
  • Set Theory, Venn Diagram
  • Indices and Logarithms
  • Permutations and Combinations
  • Quadratic Equation
• Calculus – Application in Business
  • Concept of Calculus and its Application in Business
  • Revenue and Cost Function
  • Optimization Techniques
• Statistical Representation of Data
  • Introduction
  • Diagrammatic Representation of Data
  • Frequency Distribution
  • Graphical Representation of Frequency Distribution – Histogram, Frequency Polygon Curve, Ogive, Pie-chart
• Measures of Central Tendency and Dispersion
  • Mean, Median, Mode, Mean Deviation
  • Range, Quartiles and Quartile Deviation
  • Standard Deviation
  • Co-efficient of Variation
  • Karl Pearson and Bowley's Co-efficient of Skewness
• Correlation and Regression
  • Scatter Diagram
  • Karl Pearson's Co-efficient of Correlation
  • Regression Analysis
• Probability
  • Concept and Terminologies
  • Primary Application of Probability Theorems
• Index Numbers and Time Series
  • Use of Index Numbers, Methods of Construction of Index Number
  • Components of Time Series and Calculation of Trend by Moving Average Method