Kindly note that we have put a lot of effort into researching the best books on Probability and Statistics subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Probability and Statistics" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.
1. “Introduction to Probability and Statistics” by J S Milton and J C Arnold
“Introduction to Probability and Statistics” Book Review: The book contains the illustrations of introduction to basic probability theory and statistical inference, with a unique balance of theory and methodology in the form of diagrams to make the topic more understandable. Keeping in mind the latest syllabus of various universities in India, topics like a practical approach to methods of statistical modelling and data analysis are included in this book and a detailed description is also provided by the author. A large number of solved numerical examples drawn from various university examinations have been given at the end of the theoretical part of each chapter.


2. “Miller and Freund’s Probability and Statistics for Engineers” by R A Johnson and C B Gupta
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“Miller and Freund’s Probability and Statistics for Engineers” Book Review: This book is mainly designed for engineering students and teachers. It covers the balanced presentation of applications and theory widely. Also contained in it are exam patterns and latest research results which will give a wider scope for preparation. The book covers various concepts in it’s subsequent chapters on topics like basic concepts of Probability, Statistics and Random Variable. Advanced concepts like basic concepts of Probability, Statistics and Random Variable are also covered in the book. Each chapter contains various descriptions, examples, laws and important points in order to make the revision easier.


3. “Probability and Statistics for Engineers and Scientists” by Walpole R E
“Probability and Statistics for Engineers and Scientists” Book Review: This book is targeted for undergraduate level students and the concepts are explained in a simple and concise manner. The points are covered in a logical way, and there are a wide range of solved examples given in the book. It’s main focus lies on Applied problems. Topics like introduction to basic probability theory and statistical inference, with a unique balance of theory and methodology and various problems dealing with are dealt in this book. Diagrams provided in this book are clear and error free. There are standard and simple procedures used for deriving equations and it contains ample number of solved examples. This book is mainly for chemical as well as mechanical engineering students.


4. “Statistics for Engineers and Scientists” by Navidi W
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“Statistics for Engineers and Scientists” Book Review: This textbook deals with the practical approach to methods of statistical modeling and data analysis so that the subject is perceived by the student as both a science and an art. The theories and explanations are supported by a large number of solved examples. Additional figures have also been added for the clarity and understanding of the book. Multiple choice questions and other pedagogically arranged questions are also provided to help students assess their subject knowledge. This book is designed primarily as a textbook for undergraduate and postgraduate students. It is also useful for undergraduate students of engineering.


5. “An Introduction to Probability and Statistics” by Vijay K Rohatgi and A K Md Ehsanes Saleh
“An Introduction to Probability and Statistics” Book Review: This book provides solutions as well as sufficient exercises for the readers desiring to gain maximum knowledge after the completion of the book. Provided in the book are chapters on basic concepts of Probability, Statistics and Random Variable etc. Other important topics covered in the book include theory of error functions, conditional probability, binomial distribution etc. Plethora of solved examples are included in every chapter of the book. Students pursuing BA and B. Com courses (Pass and Honours) as well as post graduate students of Arts and Commerce can benefit from the book. Students preparing for various competitive examinations may also find it beneficial.


6. “Probability and Statistics (Schaum’s Outline Series)” by Murray Spiegel and John Schiller
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“Probability and Statistics (Schaum’s Outline Series)” Book Review: This book is the guideline for the statistics and probability courses provided all over the country. This course is generally offered to students at the first to third graduate college year, preferably after elementary courses. It has also been revised from timetotime to contain all the relevant changes happening each year. Chapters like introduction to basic probability theory and statistical inference, with a unique balance of theory and methodology are also provided in the subsequent chapters of the book.


7. “Probability and Statistics for Engineers and Scientists” by Walpole
“Probability and Statistics for Engineers and Scientists” Book Review: This book is presented as a combination of analytical rigour as well as accessibility. New chapters such as histogram, hypothesis, covariance, independent events, mean, median etc have been added to the existing edition of the book. Also provided in the book are a plethora of examples as well as exercise questions to practice as well as test the concepts grasped by the book. It also has an allround introduction to basic concepts of Probability, Statistics and Random Variable with an excellent list of references and diagrams are also clearly labelled in the book. Students preparing for various competitive examinations as well as undergraduate students may find it fruitful.


8. “Probability – Statistics and Random Processes” by Veerarajan
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“Probability – Statistics and Random Processes” Book Review: This book provides a clear explanation on the topics like introduction to basic probability theory and statistical inference, with a unique balance of theory and methodology in the book. This book is targeted for undergraduate engineering students enrolled in the course. Other important chapters contained in the book include law of large numbers, independent events, normal distribution, scatter diagram etc.


9. “Probability and Statistics” by E Rukmangadachari
“Probability and Statistics” Book Review: This textbook deals with the basic concepts of Probability, Statistics and Random Variable so that the subject is perceived by the student as both a science and an art. The theories and explanations are supported by a large number of solved examples. Additional figures have also been added for the clarity and understanding of the book. Multiple choice questions and other pedagogically arranged questions are also provided to help students assess their subject knowledge. This book is designed primarily as a textbook for undergraduate and postgraduate students. It is also useful for undergraduate students of engineering.


10. “Probability and Statistics with Reliability, Queuing and Computer Science Applications” by Trivedi
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“Probability and Statistics with Reliability, Queuing and Computer Science Applications” Book Review: The book presents the subject matter of statistics and probability in a lucid way. It covers the syllabus by almost all the universities. This book can be used by both undergraduate and graduate students and also the teachers alike. The end of the chapter exercises are provided under three categories namely descriptive, analytical and objective which will be highly useful to the readers to test their comprehension of the subject. The various processes of practical approach to methods of statistical modeling and data analysis are treated systematically and in a logical sequence. The methods of analysis and interpretation of introduction to basic probability theory and statistical inference, with a unique balance of theory and methodology are presented in an unambiguous manner and their design applications are demonstrated through well formulated worked out examples.


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