We all are aware of the “Quantitative Aptitude by RS Aggrawal”. It is one of the most basic and important books of quantitative aptitude.All students preparing for exams like IBPS Clerk, IBPS PO, SBI , SSC CGL and banking exams find it very useful in terms of quality concept building. With the army of large number of questions, it helps in boosting the knowledge and confidence for solving different problems. Some students may find it boring who have good grip over maths.But, no doubt it has helped many students in building strong base who wanted to learn quantitative aptitude from zero level.
rs aggarwal quantitative aptitude pdf book syllabus
Talking about the syllabus of rs aggarwal quantitative aptitude pdf book , it covers all chapters and fields from where questions are generally asked. I have personally used this book in building my basic concept of quantitative aptitude and then I followed some other advanced books.
The rs aggarwal quantitative aptitude pdf book is divided in two sections covering important aptitude topics:
- The first part covers arithmetical ability
- The second part covers Data Interpretation
arithmetical ability syllabus
We all know how arithmetic play an important role in the all exams. In banking exam it is very crucial to solve arithmetic question. It is very vast area and simple questions are not asked. So, you should prepare it well so that a new question does not haunt you in the exam.
Quantitative Aptitude by RS Aggarwal PDF Book covers
- Problems on Numbers and Ages
- Surds and Indices
- Pipes and Cistern
- Boats and Streams
- Simple & Compound Interests
- Time and Work
- Problems on Trains
- Permutations and Combination
- Odd Man Out
- Heights and Distances
Data Interpretation Syllabus
When we talk about data interpretation, We are given some data like bar or chart and we are asked to solve certain questions based on the data given. It requires different approach to save time. We should thoroughly prepare these topics.
Tabulation and various kinds of graphs like Bar, Pie and Line Graphs.
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