Probability and Statistics  (English, Paperback, Biswal Purna Chandra)

Designed as an introductory-level text, this accessible book gives a clear explanation of the fundamental principles of probability and statistics. In doing so, it uses only the minimum amount of mathematics that is necessary for understanding the concepts, so that even an average student can understand the concepts with ease. The text gives a coherent and comprehensive coverage of the fundamental principles of probability and statistics. The methods of computation of probability are presented in a concise and clear manner with the help of the concepts of probability distribution and integral calculus. The text provides a large number of solved examples to illustrate the principles. Graphical illustrations are provided in many of these solved examples to elucidate the principles discussed. These are augmented with exercises at the end of each section to gauge the understanding of the subject. The book is intended to serve as a text for undergraduate students of engineering, mathematics and statistics, as well as postgraduate students of computer applications. It can also be immensely useful for students from any other discipline who wish to acquire a basic understanding of probability and statistics.

About The Author
Purna Chandra Biswal, Ph.D. (IISc., Bangalore), is Professor of Mathematics, National Institute of Science and Technology (NIST), Berhampur, Orissa. Earlier, he was with the Department of Mathematics, Birla Institute of Technology and Science (BITS), Pilani; he has a decade-long experience of teaching probability and statistics. He has authored two books, Discrete Mathematics and Graph Theory (published by Prentice-Hall of India) and Optimization in Engineering. His major areas of research interest include graph theory and algorithms.

Table of Contents

List of Symbols.
Preface.
1. Probability.
2. Discrete Random Variable.
3. Continuous Random Variable.
4. Sampling Distribution.
5. Parameter Estimation.
6. Confidence Interval.
7. Statistical Hypothesis Testing.
8. Regression and Correlation.
9. Queueing Theory.
Appendix—Standard Distribution Tables.
Bibliography.
Index.