Methods Of Applied Statistics

Methods Of Applied Statistics

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Product Specifications

Publisher Nirali Prakashan All Mathematics books by Nirali Prakashan
ISBN 9789389686128
Author: Dr. P. G. Dixit, Dr. Mrs. V. R. Prayag
Number of Pages 193
Edition First Edition
Available
Available in all digital devices
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Methods Of Applied Statistics - Page 1 Methods Of Applied Statistics - Page 2 Methods Of Applied Statistics - Page 3 Methods Of Applied Statistics - Page 4 Methods Of Applied Statistics - Page 5

Methods Of Applied Statistics by Dr. P. G. Dixit, Dr. Mrs. V. R. Prayag
Book Summary:

We feel indeed very happy to present this text-book of 'Statistics Paper-I' Methods of Applied Statistics to the students of F.Y.B.Sc. Computer Science Semester-II. The book is written according to the revised syllabus with effect from June, 2019. The main purpose of the book is to provide foundation as well as comprehensive background of statistical methods 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. 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. computer science students to prepare for Paper – III : Practicals. A list of practicals is given in the syllabus. specimen paper is set for student's self assessment. MS-Excel commands to obtain probabilities is an additional feature of the book. This book will also serve the purpose of reference book for F.Y.B.Sc. Computer Science, M.B.A., C.A., M.P.M.classes.

Audience of the Book :
This book Useful for B.Sc Computer Science Students.
Table of Content:

1. Correlation (For Ungrouped Data)

2. Regression (For Ungrouped Data)

3. Multiple Regression and Multiple, Partial Correlation (For Trivariate Data)

4. Time Series

5. Model Question Paper