This book is specifically designed to meet the requirements of the Foundation Level Cost & Management Accountancy Examination. It includes comprehensive past exam questions and detailed answers aligned with the latest ICMAI syllabus.The Present Publication is the Latest Edition for the CMA Foundation | Dec. 2024/June 2025 Exams. This book is authored by CA Tarun Agarwal, with the following noteworthy features: [Strictly as per the Latest ICMAI Syllabus] Ensures complete alignment with the latest requirements [Comprehensive Content Coverage]o Chapter-wise Introductions highlighting essential conceptso 900+ MCQ-based Past Exam Questions, including the CMA Foundation | June 2024 Exam covering both theory questions and numerical questionso Practice Questions at the end of each chapter for thorough preparation [Detailed and Well-Structured Answers] to aid in conceptual clarity and exam-oriented study [Point-wise Answers] Designed for quick and easy recall [Marks Distribution Analysis] Module-wise breakdown from December 2022 onwards [Comparison with ICMAI Study Material] for a better understanding of module coverageThe contents of this book are as follows: Arithmetico Ratios, Variations and Proportionso Time Value of Money and Annuity - Simple and Compound Interesto Arithmetic Progression and Geometric Progressiono Time and Distance Algebrao Set Theory, Venn Diagramo Indices and Logarithmso Permutations and Combinationso Quadratic Equation Calculus - Application in Businesso Concept of Calculus and its Application in Businesso Revenue and Cost Functiono Optimization Techniques Statistical Representation of Datao Introductiono Diagrammatic Representation of Datao Frequency Distributiono Graphical Representation of Frequency Distribution - Histogram, Frequency Polygon Curve, Ogive, Pie-chart Measures of Central Tendency and Dispersiono Mean, Median, Mode, Mean Deviationo Range, Quartiles and Quartile Deviationo Standard Deviationo Co-efficient of Variationo Karl Pearson and Bowley's Co-efficient of Skewness Correlation and Regressiono Scatter Diagramo Karl Pearson's Co-efficient of Correlationo Regression Analysis Probabilityo Concept and Terminologieso Primary Application of Probability Theorems Index Numbers and Time Serieso Use of Index Numbers, Methods of Construction of Index Numbero Components of Time Series and Calculation of Trend by Moving Average Method