Descriptive Statistics - II

Descriptive Statistics - II

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Product Specifications

Publisher Nirali Prakashan All B.Sc. - Bachelor of Science books by Nirali Prakashan
Author: Dr. P. G. Dixit, Dr. Dr. Mrs. V. R. Prayag
Number of Pages 193
Edition First Edition
Available in all digital devices
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Descriptive Statistics - II - Page 1 Descriptive Statistics - II - Page 2 Descriptive Statistics - II - Page 3 Descriptive Statistics - II - Page 4 Descriptive Statistics - II - Page 5

Descriptive Statistics - II by Dr. P. G. Dixit, Dr. Dr. Mrs. V. R. Prayag
Book Summary:

We feel indeed very happy to present this book of 'Statistics – P-I' 'Descriptive Statistics-II' to the students of F.Y.B.Sc. and F.Y.B.A. Sem. II. The book is written according to the revised syllabus (CBCS Pattern) of Savitribai Phule Pune University with effect from June, 2019. The main purpose of the book is to provide foundation as well as comprehensive background of 'Descriptive measures' to beginners in simple and interesting manner. In order to make the contents of the book easier to comprehend, we have included a requisite number of illustrations, remarks, figures, diagrams etc. to elucidate statistical concepts. Application of Statistics in real life situations is emphasized through illustrative examples. We have included the additional feature MS-EXCEL commands to obtain summary statistics. It will give an exposure to statistical computing package. Ample number of graded problems, theoretical as well as numerical are provided at the end of each chapter along with hints and answers. The numerical problems will also be useful for the F.Y.B.Sc. students to prepare for Paper – III : Practicals. A list of practicals is given in the syllabus. A specimen paper is set for student's self assessment. This book will also serve the purpose of reference book for F.Y.B.Sc. (Computer Science) B.B.A., B.C.A., M.B.A., C.A., I.C.W.A., M.P.M. classes.

Audience of the Book :
This book Useful for B.Sc And B.A Statistics Students.
Table of Content:

1. Correlation

2. Fitting of Line (Regression Line)

3. Curve Fitting

4. Index Numbers

5. Model Question Paper