The book "Probability Theory and Elements of Mathematical Statistics" by A. N. Dyachenko is a fascinating and deep dive into the world of probabilistic models and statistical methods that play a key role in modern scientific and practical data analysis. This work will become an indispensable assistant for students, graduate students and anyone interested in mathematics, statistics and their application in various spheres of life. In his book, Dyachenko masterfully combines theoretical aspects with practical examples, which allows the reader not only to understand the basic concepts, but also to see how they are applied in real situations. The author begins with the foundations of probability theory, explaining how probability spaces are formed, how probabilities of events are calculated, and how this knowledge can be used to analyze random phenomena. It not only expounds the material, but also arouses the reader’s desire to explore and apply the knowledge gained. The book covers a wide range of topics, including distribution laws, mathematical expectation, variance, and correlation, as well as the basics of mathematical statisticsfrom parameter estimation to hypothesis testing. Dyachenko pays special attention to practical applications, which makes the material accessible and understandable even for those who do not have deep knowledge in mathematics. The reader will be able to see how theoretical concepts are reflected in real data and how statistical methods help to make informed decisions in business, medicine, sociology and many other areas. This book will be interesting not only for students and teachers, but also for specialists working with data, analysts and anyone who wants to expand their knowledge in the field of statistics and probabilistic analysis. If you are interested in topics such as data analysis, machine learning or just want to better understand how the world around us works, “Probability Theory and Elements of Mathematical Statistics” will be a real discovery for you. Style A. N. Dyachenko is distinguished by clarity and accessibility . It skillfully breaks down complex concepts into simpler parts, allowing the reader to easily absorb material. The book is written taking into account current trends in learning and includes many illustrations and examples, which makes the learning process not only useful, but also fascinating. This work can be compared with other well-known works in the field of statistics, such as "Statistics for Business and Economics" or "