Chapters 1–3 establish basic concepts such as relative frequency, combinatorial analysis, sample spaces, the addition law, and statistical independence.
Chapter 5 focuses on Bernoulli trials, the binomial and Poisson distributions, and the De Moivre-Laplace theorem .
Reviewers often describe it as an excellent "pocket reference" or review tool rather than a comprehensive first-time textbook. Some readers note that its "concise" nature means certain topics, like , are not explicitly covered, and the transition to later, more technical chapters can be steep for beginners.
by Y. A. Rozanov is a highly regarded, compact introduction to modern probability, renowned for its mathematical precision and succinct style. Translated from Russian by Richard A. Silverman , this classic Dover Publications textbook provides a fast-moving yet self-contained overview of the subject in just 160 pages. Core Content and Structure
Chapter 4 covers discrete and continuous random variables, mathematical expectation, and Chebyshev's Inequality .