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Waiting in the wings


Waiting in the wings



Many CAT aspirants get intimidated by the exam and the competition they have to face.The result is
that they never really believe they can crack it and it is one of the biggest reasons for failure in the
CAT. The difference between a 70 percentile and a 99 percentile score is never more than six to eight
questions. Hence, any student who has ever scored 70 percentile in the CAT could have reached a
percentile of 97 to 99 by just approaching six to eight questions differently.

These questions are:
a) How many silly errors did you make in the exam? Let the number of such errors be A .
b) How many questions did you read in the exam for which you remembered the answers only after
you left the hall? Let the number of such questions be B
c) How many questions did you not read in the exam, but knew the answer when you saw them after
the paper? Let the number of such questions be C .

The CAT is full of surprises.This image has been created over 15 to 20 years of constantly changing
patterns and question types.
This image has emerged because students tend to work and prepare in a set way. They use the papers
from the past two to three years as a reference, thinking it is representative of what the CAT is today,
and base their preparations on it.

Traditional Data Interpretation-

This is the conventional DI question based on charts and graphs.
Skill sets required to do well in this question type include the following:
a) Your knowledge of some basic areas of quantitative aptitude. Chapters which you need to be
thorough with are Ratio & Proportions, Percentages, Progression, Basic concepts of numbers, averages,
b) The ability to understand data and identify variables and their relationships.
c) Calculation skills- you would be well advised to hone your ability to add two digit numbers,
calculate and compare ratios and also develop your ability to approximate calculations involving big
2) Advanced Reasoning Based Data Interpretations:

first made its appearance in 2003 CAT and can
be typically defined as questions that have some data based information running behind them while at
the same time one would need to make certain logical deductions. Unlike, traditional data Interpretation
questions, in these questions data is normally presented in a disguised format.

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