Quantitive Aptitude (Mathematics & Statistics) For CA Common Proficiency Test (CPT)

Quantitive Aptitude (Mathematics & Statistics) For CA Common Proficiency Test (CPT)

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Product Specifications

Publisher SChand Publications All Aptitude books by SChand Publications
ISBN 9788121929561
Author: Dr. P. C. Tulsian
Number of Pages 973
Edition Second Edition
Available
Available in all digital devices
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Quantitive Aptitude (Mathematics & Statistics) For CA Common Proficiency Test (CPT) by Dr. P. C. Tulsian
Book Summary:

We are thankful to the readers for the response given to the first Edition of the book. The book adopts a fresh and novel approach to the study of Quantitative Aptitude for CA Common Proficiency Test (CPT). It has been written in a “teach-yourself-style” strictly following a student-friendly approach, and is essentially meant to serve as a tutor at home.

Audience of the Book :
This book Useful for Competitive Exam.
Sailent Feature:

1. Tables/ Figures/Highlights: Presentation of concepts through tables and exhibits that would help understanding the concepts in a clear manner. All equations have been presented in a highlighted manner.

2. Exhibits: Over 150 exhibits that provide a practical step-by-step approach in solving problems

3. Illustrations Over 350 illustrations to understand the basic theory and application of different formulae

4. True/False Questions Over 400 true/false questions.

5. Formulae Tables Eighteen formulae tables have been given at the end of respective chapters, that would help the students for a quick recap

Table of Contents:

Section A – Mathematics

1. Ratio, Proportion, Indices And Logarithm

2. Equations

3. Graph Of Linear Inequalities

4. Simple And Compound Interest Including Annuity)—Applications

5. Basic Concepts Of Permutations And Combinations

6. Sequence And Series

7A. Sets

7B. Relations And Functions

8. Limits And Continuity

9. Differential Calculus

10. Integral Calculus

Section B – Statistics

1. Statistics—An Introduction

2. Classification And Tabulation

3. Diagrammatic And Graphical Presentation

4. Measures Of Central Tendency

5. Measures Of Dispersion

6. Correlation

7. Regression Analysis

8. Index Numbers

9. Probability Theory

10. Theoretical Distributions— Binomial Distribution

11. Theoretical Distributions—Poisson Distribution

12. Theoretical Distributions—Normal Distribution

13. Sampling—Theory Of Estimation

14. Sampling—Theory Of Test Of Hypothesis

Appendices