Theory of Probability and Mathematical Statistics : computer-oriented course” by Vera Nikolaevna Kalinina is a unique teaching aid that will become an indispensable assistant for students of higher educational institutions studying mathematics, statistics and related disciplines. This work not only covers the theoretical aspects of probabilistic models and statistical methods, but also focuses on the practical application of knowledge using modern computer technologies. Vera Nikolaevna Kalinina is an experienced teacher and researcher whose work is known in academic circles. She has a deep knowledge of probability theory and statistics, which allows her to create accessible and understandable materials for students. In this book, the author masterfully combines theory and practice, offering readers not just dry formulas, but also real examples that help to better assimilate the material. The book is intended for students, graduate students and anyone interested in mathematics and statistics. It will be useful both for those who are just beginning their journey in this area, and for those who already have certain knowledge and want to deepen their skills. Students of technical and economic specialties, as well as specialists working with data, will find in this manual many useful tips and techniques that will help them in their studies and professional activities. One of the key topics discussed in the book is the application of probability theory in real-world situations. Kalinin demonstrates how probabilistic models can be used for data analysis, forecasting and decision-making. Readers will be able to learn how to use computer programs to process statistical information, which makes the material especially relevant in the modern world, where data plays a central role in business and science. The book covers a wide range of topics, including the basic concepts of probability theory, distribution of random variables, methods of mathematical statistics, as well as modern approaches to data analysis. Vera Nikolaevna pays attention not only to theoretical foundations, but also to practical aspects, which allows readers not only to understand, but also to apply the knowledge gained in practice. This makes the manual particularly valuable for students who are preparing for exams or projects related to data analysis. The writing style of Kalinin is clear and accessible. It skillfully explains complex concepts using simple and easy-to-understand examples, making learning easy and fun. The book is full of illustrations and graphs that help to visualize the material and better absorb the information. This approach makes the study of probability theory and statistics not only useful, but also interesting. If you are looking for a tutorial that will help you understand the complex aspects of probability theory and statistics, “Probability Theory and Mathematical Statistics: A Computer-Oriented Course” will be an excellent choice. This book will not only expand your knowledge, but also equip you with the necessary skills to work with data in various fields. It is ideal for students, postgraduates, as well as for anyone who wants to improve their skills in statistics and data analysis. In conclusion, it is worth noting that the work of Vera Nikolaevna Kalinin is not just a textbook, but a real find for everyone who seeks a deep understanding of probability theory and statistics. The book opens new horizons and inspires further study of this fascinating and important field of science.