Descriptive Statistics Paper - I

Descriptive Statistics Paper - I

Sold ( 54 times )
4727 Views
MRP : ₹315.00
Price : ₹220.50
You will save : ₹94.50 after 30% Discount
Inclusive of all taxes
INSTANT delivery: Read it now on your device

Save extra with 2 Offers

Get ₹ 50

Instant Cashback on the purchase of ₹ 400 or above
SAVE05 Already Applied

Product Specifications

Publisher Nirali Prakashan All B.Sc. Mathematics books by Nirali Prakashan
ISBN 9789383073771
Author: Dr. P. G. Dixit, Dr. (Mrs.) V. R. Prayag
Number of Pages 373
Available
Available in all digital devices
  • Snapshot
  • About the book
  • Sample book
Descriptive Statistics Paper - I - Page 1 Descriptive Statistics Paper - I - Page 2 Descriptive Statistics Paper - I - Page 3 Descriptive Statistics Paper - I - Page 4 Descriptive Statistics Paper - I - Page 5

Descriptive Statistics Paper - I by Dr. P. G. Dixit, Dr. (Mrs.) V. R. Prayag
Book Summary:

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. The appendix compiles some important mathematical results which are needed during the entire course. A specimen paper is set for student's self assessment.

Audience of the Book :
This book Useful for B.Sc. students.
Table of Contents:

1. Introduction to Statistics

2. Population and Sample

3. Presentation of Data

4. Measures of Central Tendency

5. Measures of Dispersion

6. Moments

7. Skewness and Kurtosis

8. Theory of Attributes

9. Correlation

10.Regression Models

11. Index Number