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Book Structure:

This Bengali version of Dr. R S Aggarwal's Quantitative Aptitude is highly regarded among students and aspirants of competitive exams. The book has been a reliable companion, aiding in understanding the subject and rigorous practice. Even after a quarter-century, the book reinvents itself while staying true to its core concept of providing the best content and easily understandable solutions. With enhancements, we fulfill the readers' demand for a revised edition and hope for their immense benefit.

Why this Book?

Many questions & quick solutions - Loaded with objective questions, featuring swift and effective solutions through shortcut methods.

Comprehensive topic coverage with solved examples - Experience complete topic coverage through fully solved examples provided at the start of each chapter, ensuring a thorough understanding and mastery of every subject matter.

Dedicated data-sufficiency exercises and explained solutions - Each topic includes a separate exercise focused on Data-Sufficiency-Type questions, accompanied by detailed solutions that provide clear explanations and understanding of the concepts involved.

Latest exam paper questions - Included questions from recent exam papers to provide a current and relevant learning experience for better preparation and understanding.

Table of Content:

Section-I: Arithmetical Ability

• Number System • H.C.F. and L.C.M. of Numbers • Decimal Fractions • Simplification • Square Roots and Cube Roots • Average • Problems on Numbers • Problems on Ages • Surds and Indices • Logarithms • Percentage • Profit and Loss • Ratio and Proportion • Partnership • Chain Rule • Pipes and Cisterns • Time and Work • Time and Distance • Boats and Streams • Problems on Trains • Allegation or Mixture • Simple Interest • Compound Interest • Area • Volume and Surface Area • Races and Games of Skill • Calendar • Clocks • Stocks and Shares • Permutations and Combinations • Probability • True Discount • Banker's Discount • Heights and Distances • Odd Man Out and Series

Section II: Data Interpretation

• Tabulation • Bar Graphs • Pie Chart • Line Graphs