Manual for processing the results of the experiment, edited by B. In. Mityayeva is an indispensable source of knowledge for all those who are engaged in scientific research, data analysis and statistics. This publication is a comprehensive approach to the processing of experimental data, covering both theoretical foundations and practical aspects. It collects the works of authors with significant experience in the field of statistics, mathematics and scientific research, which makes the book relevant and useful for a wide audience. First of all, this guide will be of interest to students and postgraduates studying in the field of natural and exact sciences, as well as practicing researchers working in various fields - from biology and medicine to engineering and social sciences. If you strive to ensure that your scientific work is not only high-quality, but also correctly processed from the point of view of statistics, then this publication will become your reliable assistant. The book covers a variety of topics, including basic statistical analysis techniques, charting, interpretation of results, and the use of modern data processing software. The authors pay special attention to how to correctly formulate hypotheses, conduct experiments and analyze the results. The reader will be able to learn about different approaches to data processing, such as regression analysis, variance analysis, and multidimensional statistics. methods. This makes the book useful not only for beginners, but also for experienced researchers who want to update their knowledge and master new methods. The style of presentation in the book is distinguished by clarity and accessibility .. The authors aim to make complex mathematical concepts understandable to a wide audience, which is especially important for those who are just beginning their journey in the world of scientific research. Each chapter is accompanied by practical examples, which allows the reader to better absorb the material and apply it in practice. In addition, the book presents tasks and questions for self-testing, which makes it an ideal tutorial. The "Experimental Results Processing Manual" can be compared with other well-known papers in the field of statistics and research, such as the "Statistics for Scientific Research" D. G. Smith or "Applied Statistics" M. X. Hannah . However, the uniqueness of this guide lies in its practical focus and emphasis on modern methods of data processing, which makes it especially relevant in the context of rapidly developing technologies and methods of analysis. The book also raises important topics such as ethics in research, the need to replicate experiments, and critical thinking when interpreting data. These aspects make it not only a textbook, but also an important contribution to the discussion of topical issues related to scientific practice and the responsibility of researchers. If you are looking for a high-quality guide to processing experimental data that will help you not only in your studies, but also in your professional activities, then the “Guide to processing the results of the experiment” In. Mityaeva will be your faithful companion . This book is not just a collection of theoretical knowledge, but a practical tool that will help you confidently navigate the world of statistics and research.