The statistical basis of inductive inference: studies. The manual by Vladimir Golenkov is an important work in the field of statistics and probability theory, which will be of interest to both students and practitioners. This manual not only helps to better understand the basics of inductive inference, but also serves as a reliable guide to complex concepts that may seem confusing without proper explanation. The book focuses on methods and approaches that allow making informed conclusions based on incomplete data. The author masterfully explains how statistical methods can be applied to the analysis of real data and decision-making under conditions of uncertainty. The reader plunges into the world of statistics, where each page opens up new horizons of understanding, and each formula becomes the key to solving complex problems. Who can like this tutorial? First of all, it will be useful for students studying statistics, mathematics and related disciplines. The book will also interest graduate students and researchers working in the social sciences, economics, and medicine, where statistical methods play a key role in data analysis. Practitioners such as analysts, marketers, and sociologists will find valuable tips and examples to help with their daily work. The topics raised in the book cover a wide range of issues related to inductive statistics. Golenkov discusses the importance of sampling, methods for estimating parameters, hypothesis testing and confidence intervals, which allows the reader not only to master the theory, but also to learn how to apply it in practice. Particular attention is paid to practical examples that make the material more accessible and understandable. This manual is not just a set of formulas and theories, but a real find for those who seek a deep understanding of statistical methods. The author's style is distinguished by clarity and logical presentation, which makes complex concepts accessible to perception. Golenkov uses many illustrations and graphs, which helps to visualize information and facilitates the learning process. His previous work has also been noted for its high level of scientific rigor and accessibility, and this manual is no exception. Readers familiar with the author's other works will appreciate his ability to explain complex things in simple language, as well as his passion for the subject. The book “Statistical bases of inductive inference” will become an indispensable assistant for anyone who wants to master statistics and learn to draw reasonable conclusions based on data. It responds to current requests of readers interested in statistical analysis, inductive methods and their application in real life. In today's world, where data play a key role in decision-making, knowledge of statistics is becoming an integral part of professional competence. If you are looking for a tutorial that not only explains the theory, but also helps to apply knowledge in practice, then the work of Vladimir Vladimirovich Golenkov will be an excellent choice. This book is not just a textbook, but a real find for everyone who seeks to understand and master the art of inductive inference.