Description
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 3rd 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
Reviews
There are no reviews yet.