Statistical Methods And Use Of R-Software Statistics Paper – I

By Prof. P. G. Dixit, Prof. P. S. Kapre, Prof. V. R. Pawgi more
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Product Specifications

Publisher Nirali Prakashan All B.Sc. - Bachelor of Science books by Nirali Prakashan
ISBN 9789351642824
Author: Prof. P. G. Dixit, Prof. P. S. Kapre, Prof. V. R. Pawgi
Number of Pages 189
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Statistical Methods And Use Of R-Software Statistics Paper – I - Page 1 Statistical Methods And Use Of R-Software Statistics Paper – I - Page 2 Statistical Methods And Use Of R-Software Statistics Paper – I - Page 3 Statistical Methods And Use Of R-Software Statistics Paper – I - Page 4 Statistical Methods And Use Of R-Software Statistics Paper – I - Page 5

Statistical Methods And Use Of R-Software Statistics Paper – I by Prof. P. G. Dixit, Prof. P. S. Kapre, Prof. V. R. Pawgi
Book Summary:

The main purpose of the book is to learn applications of statistics in forecasting and inference 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. students computer science to prepare for Paper – III : Practicals. A list of practicals is given in the syllabus. Appendix A compiles some important mathematical results which are needed during the entire course. Values of individual terms of binomial probabilities are given in Appendix B. A specimen paper is set for student's self assessment. Due to increasing usage of statistical softwares, we have included MS-EXCEL and R-software in finding probabilities and tests of hypotheses. It is an important feature of the book.

Audience of the Book :
This book Useful for Science Student students.
Table of Contents:

1. Multiple Linear Regression, Multiple & Partial Correlation

2. Tests of Hypotheses

3. Tests of Hypotheses using R-Software

4. Demography

5. Queuing Model

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