IBPS Exam Syllabus for Quantitative Aptitude

Quantitative aptitude is one of the toughest section of the bank exam, most of the candidates fail to solve maximum questions in this section because if one step goes wrong you will get a wrong answer. Most of the candidates solve this section after solving all the other sections in the paper, as it makes mind messy with numbers.

Quantitative aptitude test is used to check the numeric ability and problem solving ability of the candidate. In every job numeric ability is needed.  It is very much important for any candidate to understand basic mathematical functions. It is one best filtering tool used by most of the companies in their recruitment process.

Only the talented candidates qualify this round. In order to solve maximum questions in quantitative aptitude one should be very strong with formulas, cubes, squares and theorems.

  1. Ratio & Proportion
  2. Averages
  3. Time & Work
  4. Speed, Distance & Time
  5. Mixture & Alligation
  6. Stocks & Share
  7. Percentages
  8. Partnership
  9. Clocks
  10. Volume & Surface area
  11. Height & Distances-application of Trigonometry
  12. Logarithms
  13. Permutations & Combinations
  14. Simple & Compound interest
  15. Equations
  16. Probability
  17. Profit, Loss & Discount
  18. Mensuration
  19. Elements & Algebra
  20. Data Interpretation: pie charts; tables; bar and graphs; line charts

The syllabus of quantitative aptitude is a bit more than any other topics, the questions of quantitative aptitude are tough than other topics. So one should practice more questions on quantitative aptitude. If you do well in quant then your chances of getting selected gets higher. One should focus on speed of solving questions for that, use approximation techniques, Learn Squares,cubes and tables, learn square up to 30, cubes up to 30 and tables up to 30.

Take online test this will make you feel comfortable while you will be sitting for the actual bank po examination. Solve syllogism visually focus on venn diagrams. Practise missing data interpretation questions because questions based on DI carry very high weightage and it is very much scoring.

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