Mathematical Statistics: The Method . Decree. to the course work: study. -method. Dolgopolova E . E. and Kosykh A . In. is an indispensable resource for undergraduate and graduate students studying statistics and related disciplines. If you are at the writing stage of a course paper or just want to deepen your knowledge in the field of mathematical statistics, this guide will become your faithful companion in the world of numbers and data. The authors, having a rich experience in teaching and scientific activities, offer readers not only theoretical knowledge, but also practical recommendations that will help to successfully cope with the tasks that arise when writing term papers. The manual covers a wide range of topics, ranging from the basics of statistics to more complex concepts, such as methods for testing hypotheses and building confidence intervals. Each chapter is filled with examples that will help you better understand the material and apply it in practice. The book will be of interest not only to students, but also to teachers who are looking for high-quality methodological recommendations for their courses. It can also attract the attention of researchers working in the field of statistics, as it presents current methods and approaches that can be used in scientific work. If you are interested in topics such as data analysis, probabilistic models or the application of statistics in various fields, this guide will become a real storehouse of knowledge for you. One of the key topics raised in the book is the importance of statistical analysis in the modern world. The authors focus on how to correctly interpret the data and draw reasonable conclusions based on them. As information becomes more accessible, the ability to work with data and extract useful insights from it becomes an integral part of training. The manual not only teaches the basics, but also develops critical thinking, which is especially important for future specialists. The style of the authors is clear and accessible. They use simple and easy-to-understand formulations that make the material easy to understand even for those who encounter mathematical statistics for the first time. There are many illustrations and tables in the book that help to visualize complex concepts and make the learning process more fascinating. This manual will be an excellent addition to the textbooks on statistics and can be used both as a main source and as a reference material. If you are looking for similar books that will help you in the study of statistics, pay attention to the "Statistics for Dummies" by John D. Cotter 's