Statistical Methods - II Statistics Paper - II

By Prof. P. G. Dixit, Prof. P. S. Kapre, Dr. (Mrs.) V. R. Prayag more
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Product Specifications

Publisher Nirali Prakashan All B.Sc. - Bachelor of Science books by Nirali Prakashan
ISBN 9789383073801
Author: Prof. P. G. Dixit, Prof. P. S. Kapre, Dr. (Mrs.) V. R. Prayag
Number of Pages 261
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Statistical Methods - II Statistics Paper - II - Page 1 Statistical Methods - II Statistics Paper - II - Page 2 Statistical Methods - II Statistics Paper - II - Page 3 Statistical Methods - II Statistics Paper - II - Page 4 Statistical Methods - II Statistics Paper - II - Page 5

Statistical Methods - II Statistics Paper - II by Prof. P. G. Dixit, Prof. P. S. Kapre, Dr. (Mrs.) V. R. Prayag
Book Summary:

We feel indeed very happy to present this text-book of 'Statistics Paper-II' Statistical Methods-II to the students of F.Y.B.Sc. Computer Science. The book is written according to the revised syllabus with effect from June, 2013.

The main purpose of the book is to provide foundation as well as comprehensive background of Probability Theory and 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. 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.

Audience of the Book :
This book Useful for B.Sc (Computer Science) students.
Table of Contents:

1. Revision of Theory of Probability

2. Conditional Probability and Baye's Theorem

3. Continuous Random Variables

4. Uniform Distribution

5. Exponential Distribution

6. Normal Distribution

7. Pareto Distribution

8. Statistical Inference (The Idea of Estimation and Testing of Hypothesis)

9. Large Sample Tests

10. Tests Based of Chi-square, t Distribution

11. Non-Parametric Tests

12. Simulation

Appendix A

Appendix B

Appendix C

University Question Paper

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