How to Score 35 Marks in Quantitative Aptitude of SBI Clerk Prelims 2020?

Table of Contents

Quantitative Aptitude for SBI Clerk 2020– Students who are preparing for banking exams are generally scared of Quantitative Aptitude section as it is usually calculative and little bit tricky. But right approach can make this section your strong point and can get you an edge over other students.

Topics to be covered:

Quadratic Equation
Data Interpretation

Line Graph
Bar Chart
Table Graph
Pie Chart
Caselet
Mixed Graphs
Missing D.I

Simplification/Approximation
Work & Time
Speed, Time and Distance
Number series
Profit Loss
Probability
Ratio and Proportion
Mixtures and Allegation
Data Suffciency
Quantity Based problems based on Arithmetic topics.

Quant Section Composition in banking Exams

This section comprises of 35 question each question weighs one mark. They are mainly divided in Five main section i.e. Number series/ Missing No series (5 marks), Quadratic Equation (5 marks), Data interpretation (10 marks), Approximation (5 marks), Arithmetic Questions (10 marks). Hence practise accordingly.

Sources to cover this section From:

Learning the easy way

Quant section is difficult because of the high number of questions that needs to be solved in limited time. Thus solving every question from the scratch would not enable you to score a good score. Hence, It is important to learn some tips and tricks to fasten your calculation speed. You can take the help from the link given below:

Practice it Out!

The last and the most important step is to practice as much as you can. This section requires a lot of practice. Continous practice of a lot of questions will help you score good in this section.

Give mocks

Giving Mocks is very important to analyse your preparation. Giving mocks will not only help you to find out your weak point but will also help you to find out the method of attempting the right questions. Not every question is doable in exam. Hence, it is important to learn the technique of choosing the right question wisely.