CAT MATHEMATICS by GUHA, ABHIJIT

CAT MATHEMATICS is designed to help you prepare for the real CAT Quantitative and Data Interpretation sections. The book emphasizes on those topics that are given maximum weightage in CAT examinations and are least covered in other books. It introduces many innovative ideas/tools/rules  in  each  chapter  to  make  the  learning  easier.

The book is organized in two parts:
»  Level boost up section
»  Trend section

In LEVEL BOOST UP SECTION,  each of the 9 chapters is designed to initiate a CAT orientation and create a CAT momentum in the minds of the aspirants through its pedagogical aids that ultimately  boost  up  the  aptitude  level.

TREND SECTION will enable you to feel the pulse of CAT before the actual CAT. It includes

•  CAT Papers (2002–2008) with answers
•  Trend CAT Papers (with answers) consist of questions found to be a trend during CAT 2009–2013
•  Mock CAT includes test papers designed with CAT level of difficulty

KEY FEATURES

• Rapid concept—Each chapter starts with a list of important concepts/theorem/rule/short cut tips  to  provide  you  an  easy  and  all  time  access  to  important  rules/concepts.
• Problem followed theory (PFT)—Each basic concept/rule/theorem is followed by a problem of CAT level. It enables you to understand the basic concept/rule clearly and also helps you to learn  its  application  in  solving  actual  problems.
• Check your progress—It consists of brainstorming problems with ideas different from the problems  solved  in  PFT  in  order  to  widen  the  base  of  the  aptitude  level  of  the  aspirants.
• The book also has a companion website www.phindia.com/Books/ShowBooks/MTE0Mg/CAT that  contains  aptitude  tests  and  interactive  exercises.

Preface

0.            VEDIC MATHEMATICS

1.            EXPRESSIONS,  EQUATIONS AND INEQUATIONS

2.            FUNCTIONS

3.            PERMUTATION AND COMBINATION

4.            SEQUENCE AND SERIES

5.            NUMBER SYSTEM

6.            ARITHMETIC

7.            GEOMETRY AND MENSURATION

8.            DATA SUFFICIENCY AND DATA INTERPRETATION