Description
Taxmann Fundamentals of Business Mathematics Statistics (FBMS Maths) CRACKER by Tarun Agarwal
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]
Chapter-wise Introductions highlighting essential concepts
900+ MCQ-based Past Exam Questions, including the CMA Foundation | June 2024 Exam covering both theory questions and numerical questions
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 coverage
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