The book is a beautiful introduction to probability theory at the beginning level. It has twelve chapters covering all essential material required for science and engineering students. The book contains a lot of examples and an easy development of theory without any sacrifice of rigor, keeping the abstraction to a minimal level. Chapters 1 and 2 deal with discrete and continuous random variables with appropriate distribution and density functions. The next chapter is devoted to combinatorics. Each section has at least two examples and enough exercises. Chapter 4 introduces a very important topic of conditional probability. Some important distributions and densities are given in Chapter 5. First and second order statistics are discussed in the next chapter. Chapters 7, 8 and 9 are related to independent random variables and central limit theorems. The authors describe generating functions for discrete and continuous random variables. This chapter also has advanced topic – branching processes. The last two chapters – “Markov chains” and “Random walks” – are usually covered in advanced courses and are very important for stochastic process and communications systems. It has three appendices (standard tables). It is indeed a valuable addition to the study of probability theory.