The book “Unparametric Methods of Statistics”, written by outstanding authors Hollender, Miles, Wolfe, Adler, Turin and Schmerling, is an important work in the field of statistics that will be of interest to both students and practitioners. This publication is a true guide to the world of non-parametric methods that play a key role in data analysis, especially when traditional parameters cannot be applied or do not fit. Complex statistical methods often require strict assumptions about the distribution of data, which is not always possible in real life. In this context, non-parametric methods become a real find, as they allow analysis without relying on specific assumptions about distribution. The book covers a wide range of topics, ranging from the basics of nonparametric statistics to more complex methods such as median equality tests, rank tests, and methods for time series analysis. This book will be especially useful for undergraduate and graduate students studying statistics, mathematics, and related disciplines. It will also attract the attention of researchers and practitioners working in areas where data may not obey classical statistical laws. If you do data analytics, sociological research, medical research, or any other field where data analysis is required without strict allocation assumptions, this publication will be an indispensable resource for you. One of the key topics raised in the book is the importance of choosing the right analysis method depending on the type of data and research issues. The authors explain in detail how nonparametric methods can be used to analyze data that does not correspond to a normal distribution, and how they can help avoid errors associated with incorrect assumptions. This makes the book particularly relevant in today's world, where data volumes are growing and their quality and distribution are becoming increasingly diverse. The style of the authors is distinguished by clarity and accessibility, which makes complex concepts understandable even for those who are just starting their way in statistics. They use many examples and illustrations, which allows readers to better absorb the material and apply it in practice. In addition, the book includes exercises and tasks that will help consolidate the acquired knowledge and skills. Hollender, Miles, and Wolfe are known for their work in statistics, and their expertise, combined with the work of Adler, Tyurin, and Schmerling, creates a unique synergy that makes this book not only useful, but also fascinating to read. If you are familiar with their other work, such as "Statistical Methods for the Social Sciences" or "