Originally posted on December 9, 2021 @ 1:46 pm

Being a student isn’t an easy task as they must manage multiple things at the same all at once.

Based on a survey report, a majority of students believe that math was among the most difficult subjects. statistical probability and probability are thought as the most complicated subjects where the majority of students have difficulty.

So, we’ve determined the need for students to have some sort of advice that will aid students in dealing with statistics and probability problems.

On this page, we’ve provided a list of **statistical and probability books**that will help students.

However, before we go into additional details, we will briefly explain the basics of probability and statistics.

Statistics concerns the information and numbers that are used to analyse the huge survey reports and probabilities are used to calculate the ratio of events that are favorable to the general events of potential factors.

We will now provide you with a list of **Statistics and probability books** that can help you comprehend the fundamental notions of these mathematical subjects.

Let’s go through the available books and choose the one that suits your preferences and eliminate all your doubts.

**Booklist of books on statistics and probability**

### 1. A Course in Probability Theory by Kai Lai Chung

This book presumes that you’re at the level of mathematical proficiency, however it offers thorough explanations of the fundamental concepts of thorough probability.

### 2. An Introduction to Probability Theory and Its Applications by William Feller

It is a two-volume book, and the first volume will most likely be interesting to the beginner since it covers discrete probability. The book tends towards treating the theory of probability in its own right.

### 3. Bundle of Algorithms in Java, Third Edition, Parts 1-5: Fundamentals, Data Structures, Sorting, Searching, and Graph Algorithms by Robert Sedgewick

An excellent source (students engineers, students and entrepreneurs) If you’re searching for a program that you can implement directly in the field.

### 4. Data Mining: Practical Machine Learning Tools and Techniques by Ian H. Witten

This is a must-read If you’re looking to learn about machine learning. The book is well-written and is perfect for an engineer or student who doesn’t wish to dive too deep into the intricacies of a machine learning method, but needs a basic understanding of the subject.

### 5. Discovering Statistics Using R by Andy Field

This book is great in case you’re new to statistical and probabilities while beginning to learn the programming language. This book can be used with R as well and written in a relaxed and manner, making it a simple to read.

### 6. Fifty challenging problems in Probability and Solution Written by Frederick Mosteller

This book is an excellent collection that covers a wide range of puzzles. The thing I love about these puzzles is they’re all doable and don’t require maths to solve.

### 7. First Course in Probability by Sheldon Ross

This text introduces the mathematical foundations of probability to readers in the field of engineering and sciences who have a basic understanding of calculus. It includes new examples and exercises throughout. New section provides a sophisticated method to calculate the moment of random variables, defined as the amount of events that happen.

### 8. Introduction to Algorithms by Thomas H. Cormen

It covers a wide array of algorithms in depth, while making their concepts and their analyses accessible to readers of all levels. Each chapter is almost self-contained and is able to be used as a study unit.

### 9. Introduction to Probability by Dimitri P. Bertsekas

If you’re looking to master the basics of probability without the classroom This book is a great option. It does not require knowledge of other fields however, it is short on examples of work.

### 10. Introduction to Probability Theory by Paul G. Hoel

This book is a great option for those who are keen to understand the fundamental theorem of probability (i.e. calculus-based probability , not measure probabilities based on theorems). The book assumes that the readers have not had previous exposure to the subject.

### 11. Probability and Statistics by Morris H. DeGroot

This is a great book for people who have a solid math background. It covers everything one could learn in a single-year course in statistics and more, as well as a number of chapters about Bayesian methods.

### 12. Probability Theory: A Concise Course (Dover Books on Mathematics) by Y.A. Rozanov

This book isn’t ideal for everyone as it will require a little level of mathematical understanding. However, it is beneficial to a large readership. For serious mathematics and science students, it will give them the fastest method of learning the science.

### 13. Probability Theory: The Logic of Science by E.T. Jaynes

Beyond the standard maths of probability theory this book examines the topic in a larger perspective. It presents new findings and the applications that probability theory can make to wide range of challenges.