The book "Probability Theory and Mathematical Statistics" by E. and . Bavrina 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 publication will become a real assistant for both students studying mathematics and statistics, and for professionals working in the field of data analysis, economics, sociology and many other disciplines. In his book, Bavrin masterfully combines theory and practice, which allows readers not only to understand the basic principles, but also to see how they are applied in real life situations. The author begins with the foundations of probability theory by explaining key concepts such as random events, probability spaces, and distribution laws. The reader gradually immerses himself in more complex topics, including mathematical statistics, parameter evaluation, and hypothesis testing. Bavrin emphasizes intuitive understanding, which allows even those who do not have deep knowledge in mathematics to easily absorb material. The book will be interesting to a wide range of readers .. Students and graduate students studying mathematics, statistics or related disciplines will find in it useful explanations and examples that will help prepare for exams and defenses . Professionals working in the field of data analysis, marketing, economics and sociology will evaluate the practical orientation of the material and the possibility of applying theoretical knowledge in their work. The book will also be useful to teachers who are looking for accessible and understandable explanations of complex topics for their students. The topics raised in the book cover a wide range of issues related to probabilistic models and statistical methods. Bavrin discusses the importance of statistical analysis in decision-making, as well as the role of probability in risk assessment. It also addresses current issues, such as the effect of chance on experimental results and the significance of statistical findings under uncertainty. These topics make the book particularly valuable in the era of big data, when the ability to analyze and interpret information becomes a key skill. Style and . and . Bavrina is clear and accessible. He skillfully uses real-life examples to illustrate complex concepts, which helps the reader not only understand the material, but also see its practical application. Bavrin is also known for his other work in mathematics and statistics, which has earned recognition among both students and professionals. His approach to teaching and explaining complex topics makes his books in demand and popular. If you are looking for a book that will help you understand probability theory and statistics, “Probability Theory and Mathematical Statistics” and . Bavrina will be a great choice . It will not only enrich your knowledge, but also open new horizons in understanding the world of data. Read, study and apply the knowledge gained in practice - and you will see how the theory becomes a powerful tool in your professional activities