"Mathematical Methods in Psychology" is a unique publication created by a team of authors, which opens up an exciting world of intersection of mathematics and psychology for readers. This book is not just a textbook, but a real find for anyone interested in how quantitative methods can be applied to the analysis of mental processes and human behavior. In today's world, where data plays a key role in decision-making, understanding mathematical methods is becoming essential for psychologists, researchers, and students. The book offers readers a deep dive into the theory and practice of applying mathematical models in psychology, which makes it an indispensable tool for those who strive for a scientific approach in their work. From the first pages, the reader will feel how the authors masterfully combine complex mathematical concepts with practical examples from psychology. They discuss topics such as statistical analysis, behavior modeling, and data processing and interpretation methods. Each section is written with clarity and accessibility, which allows even those who are not experts in mathematics to easily assimilate the material. The book will be of particular interest to students and graduate students of psychological faculties, as well as practicing psychologists who wish to expand their knowledge and skills in the field of quantitative analysis. It will be a useful resource for researchers working in the field of social and experimental psychology, as well as for anyone interested in scientific methods in the humanities. The topics raised in "Mathematical Methods in Psychology" range from the fundamentals of statistics to complex models such as regression analysis and factor analysis. The authors emphasize the importance of critical thinking and scientific approach in psychology, emphasizing that understanding and applying mathematical methods can significantly improve the quality of research and practice. The book also addresses issues of ethics in the use of quantitative methods, which makes it particularly relevant in light of current discussions about scientific integrity and transparency in research. This is an important aspect that not only enriches