Taxmann's CRACKER for Fundamentals of Business Mathematics & Statistics (Paper 3 | FBMS/Maths) – Past Exam Questions & Answers | Tabular Summaries | 950+ MCQs | CMA Foundation | June/Dec. 2025 Exam  (Paperback, CA 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 2nd Edition for the CMA Foundation | June/Dec. 2025 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 Dec. 2024Tabular summaries at the start of each chapter950+ MCQsPractice 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 December 2022 onwards[Comparison with ICMAI's Study Material] is provided module-wiseThe contents of this book are as follows:ArithmeticRatios, Variations and ProportionsTime Value of Money and Annuity – Simple and Compound InterestArithmetic Progression and Geometric ProgressionTime and DistanceAlgebraSet Theory, Venn DiagramIndices and LogarithmsPermutations and CombinationsQuadratic EquationCalculus – Application in BusinessConcept of Calculus and its Application in BusinessRevenue and Cost FunctionOptimization TechniquesStatistical Representation of DataIntroductionDiagrammatic Representation of DataFrequency DistributionGraphical Representation of Frequency Distribution – Histogram, Frequency Polygon Curve, Ogive, Pie-chartMeasures of Central Tendency and DispersionMean, Median, Mode, Mean DeviationRange, Quartiles and Quartile DeviationStandard DeviationCo-efficient of VariationKarl Pearson and Bowley's Co-efficient of SkewnessCorrelation and RegressionScatter DiagramKarl Pearson's Co-efficient of CorrelationRegression AnalysisProbabilityConcept and TerminologiesPrimary Application of Probability TheoremsIndex Numbers and Time SeriesUse of Index Numbers, Methods of Construction of Index NumberComponents of Time Series and Calculation of Trend by Moving Average Method