The Pearson Guide to Quantitative Aptitude for Competitive Examinations, 2/e


Book Description

This book is a comprehensive package of questions to master the 'quantitative aptitude' section that forms an important part of various entrance examinations such as MBA, MCA, banks, railways, defence, etc. The book has been revised as per the latest patt




CALCULUS


Book Description

Written from examination point of view, this textbook provides the basic concepts of calculus to the undergraduate students of all disciplines (Honours courses) other than Mathematics (Hons.) of all Central Universities of India following Choice Based Credit System (CBCS) including University of Delhi. The text follows a student-centric approach which communicates the practical aspects of Mathematics in such a way that it drives out the common fear of learning any mathematical subject. The concepts are properly supported by illustrations followed by several varied types of examples to provide students an integrated view of theory and applications. There are about four hundred examples in this book and the concepts are explained geometrically through numerous figures. A large number of self-practice problems with hints and answers have been added in each chapter to enable students to learn. Most of the questions conform to the examination-style universities of Indian. SALIENT FEATURES • Gives step by step procedure of solving worked problems for better understanding • Includes Chapter Objectives at the beginning of each chapter. • Familiarizes students with the basic techniques of calculus used in analysing the behaviour of a function.




The Pearson Guide to Quantitative Aptitude for CAT 2/e


Book Description

The Pearson Guide to Quantitative Aptitude for CAT 2/e has everything you need to secure a top score in the quantitative aptitude papers of the CAT and other MBA entrance examinations. Written in a student-friendly style, this book explains concepts in a concise manner and includes numerous examples and worked-out problems. It also contains ample practice problems, scientifically designed and arranged in four levels (in an increasing order of difficulty). The text also contains a chapter on Vedic mathematics, which provides unique time-saving and easy techniques for complex calculations.




QUANTITATIVE APTITUDE AND REASONING


Book Description

This book, now in its Third Edition, is revised as per the feedback received from our valuable students and readers. It is exclusively prepared for the students who wish to appear for campus recruitment screening test and graduate/post graduate students appearing for various competitive examinations in Quantitative Aptitude and Reasoning. The main objective of this volume is to guide the students to solve the problems within the stipulated time and that too with the higher degree of accuracy. Organized in two parts—Quantitative Aptitude (Part I) and Reasoning (Part II)—it helps students to apply basic mathematical and reasoning concepts to a range of quantitative and reasoning problems. The separate sections are devoted to verbal and nonverbal reasoning. It sharpens the ability to apply analytical and logical thinking while gathering and analysing information, designing and testing solutions to problems, and formulating plans. This book is a valuable resource for conducting training programmes/workshops to train students in problem solving techniques in Mathematical Aptitude. It would equally be useful to the candidates appearing for quantitative aptitude and reasoning test conducted in various competitive examinations of graduate level.NEW TO THIS EDITION • Numerous Reasoning questions (with explanatory answers) asked in recent placement tests and competitive exams • New topics on • Four figure series • Choosing one element of a similarly related pair • Choosing set of similarly related figures • Detecting one element of each of the two related pair • Detecting the relationship and choosing the correct substitute • Choosing the odd figure • Choosing a similar figure • Rule 4 [(i) and (ii)] in Rule detection