Book 2009 Probability Theory . Probability space. Conditional Probability . Independence of events: training. T. N. Saburova and E. In. Shishkova is a unique tutorial that immerses the reader in the world of probability theory - one of the most fascinating and relevant areas of mathematics. This publication will become an indispensable assistant for students, graduate students and anyone interested in statistics, mathematical analysis and applied mathematics. From the first pages, the authors set a tone that combines the rigor of the scientific approach and the accessibility of the presentation. The book covers key concepts of probability theory, from the basics of probability space to more complex topics such as conditional probability and event independence. Each section is built logically and consistently, which allows the reader to gradually delve into the material without losing the thread of understanding. One of the main features of this tutorial is its practical focus. The authors not only explain the theoretical aspects, but also offer many examples and tasks that help to consolidate the knowledge gained. This makes the book especially useful for those who are ready not only to read, but also to actively apply the theory in practice. Readers will be able to see how theoretical concepts work in real situations, which significantly increases interest in the material being studied. Who can like this manual? First of all, it will be useful for students of mathematical, economic and technical specialties, as well as for anyone who wants to deepen their knowledge in the field of statistics and probabilistic analysis . The textbook is suitable for both self-study and for use in the educational process. If you are preparing for exams or want to refresh your knowledge, this publication will become your reliable companion. The topics raised in the book cover not only theoretical aspects, but also practical applications of probability theory in various fields, from economics to engineering. The authors emphasize the importance of understanding probabilistic models in today's world, where decision-making is often based on data analysis and event prediction. This makes the manual relevant and in demand in a rapidly changing information space. T. N. Saburov and E. In. Shishkov are experienced teachers and researchers who have a lot of publications and teaching aids behind them . Their writing style is clear and logical, which allows even the most complex concepts to be easily understood. They skillfully use real-life examples, which makes the material more lively and interesting. If you are familiar with the other works of these authors, you already know that their approach to learning is always based on a deep understanding of the subject and the desire to transfer knowledge to the reader. In conclusion, "No. 2009 Probability Theory. Probability space. Conditional Probability . Independence of events: training. This book is not just a book, but a real find for anyone who wants to master probability theory. It combines theoretical rigor and practical focus, making it an ideal choice for students, faculty and anyone interested in mathematics. If you are looking for a high-quality tutorial on probability theory, this publication will be your reliable assistant on the way to knowledge. Do not miss the opportunity to immerse yourself in the world of probabilities and discover new horizons!