About the Book
Quantitative Aptitude is a book that's popular among every student who's registered for competitive exams or job interviews. It remains a bestseller till date, mainly because of its comprehensive nature.
Often considered as the absolute bible for every aspirant, Quantitative Aptitude by R. S. Aggarwal helps students prepare for competitive exams and job interviews. The book covers an array of topics and its content is split across two sections: Arithmetic Ability and Data Interpretation.
The book features extensive examples and exercises that cover topics like HCF/LCM, Decimal Fractions, Profit and Loss, Time and Distance, Chain Rule, Surds and Indices, Age Problems, Simple and Compound Interest, Probability, Heights and Distances, Volume and Surface Areas and Permutations and Combinations under the broad umbrella of Arithmetic Ability.
Topics covered under Data Interpretation include Line Graphs, Bar Graphs, Tabulation and Pie Charts.
This is the perfect handbook for every student as the examples are easy to comprehend.
About The Author
R.S. Aggarwal was born in the city of Delhi. A graduate from Kirorimal College in Delhi, he then took on a position in N.A.S. College as a teacher following his post graduation in Mathematics in the year 1969.
Table Of Contents
Section- I Arithmetical Ability
1. Numbers
2. H.C.F. & L.C.M. of Numbers
3. Decimal Fractions
4. Simplification
5. Square Roots & Cube Roots
6. Average
7. Problems on Numbers
8. Problems on Ages
9. Surds & Indices
10. Percentage
11. Profit & Loss
12. Ratio & Proportion
13. Partnership
14. Chain Rule
15. Time & work
16. Pipes & Cistern
17. Time & Distance
18. Problems on Trains
19. Boats & Streams
20. Alligation or Mixture
21. Simple Interest
22. Compound Interest
23. Logarithms
24. Area
25. Volume & Surface Areas
26. Races & Games of Skill
27. Calendar
28. Clocks
29. Stocks & Shares
30. Permutations & Combinations
31. Probability
32. True Discount
33. Banker's Discount
34. Heights & Distances
35. Odd Man Out & Series
Section- II Data Interpretation
36. Tabulation
37. Bar Graphs
38. Pie Charts
39. Line Graphs