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Ebook – Arun Sharma Quantitative Aptitude

quantitative aptitude by arun sharma

Arun Sharma Quantitative Aptitude for CAT and other Competitive Exams like SSC, IBPS, Railways and PSU. It has been a bestseller in this segment for many years and has evolved into a ‘must read’ book for this topic.

Quantitative Aptitude is one of the most challenging components of Competitive examinations and the author, in his inimitable style has adopted a scientific yet student-friendly approach to discussing the topic.

For SSC, IBPS and other Competitive Exams aspirants. This book is useful to build your concepts from basic and quicker methods will help you to save time in the exam.

Table of Contents:

First Things First

  • Additions And Subtractions (As An Extension Of Additions)
  • Multiplications
  • Divisions, Percentage Calculations And Ratio Comparisons
  • Squares And Cubes Of Numbers

Block I: Numbers

  • Number Systems
  • Progressions

Block Ii: Averages And Mixtures

  • Averages
  • Alligations

Block Iii: Arithmetic And Word-Based Problems

  • Percentages
  • Profit & Loss
  • Interest
  • Ratio, Proportion And Variation
  • Time And Work
  • Time, Speed And Distance

Block Iv: Geometry

  • Geometry And Mensuration
  • Coordinate Geometry

Block V: Algebra

  • Functions
  • Inequalities
  • Quadratic And Other Equations
  • Logarithms

Block Vi: Counting

  • Permutations And Combinations
  • Probability
  • Set Theory

Download Links

Part 1

Part 2

Part 3

Part 4

Part 5

Part 6

Part 7

Part 8

Check Also

E -Book : Plinth to Paramount – English(SSC, Railways, IBPS)

Download Link 1 –  Download Link 2 –  Related

6 comments

  1. Thank you. Please upload fast track objective arithmetic book. Thanks again.

  2. Thanx a lot for providing study material online but even in m.tyra aptitude book trygnometry section is not given .. I am preparing for tier 2 … plz provide trigo material also 🙂

  3. Hw i download this e book

  4. Can anyone send proper link arun sharma quantitative aptitude email book link pls

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