“Statistical Foundations in Educational Research – Theory and Practice” provides a comprehensive exploration of essential statistical methods and their applications in the field of education. The book is carefully designed to provide readers with an in-depth understanding of both the theoretical concepts and practical techniques required for strong educational research. The book begins with an introduction to statistics in education, emphasizing the importance and relevance of statistical methods in analyzing and interpreting educational data. It covers fundamental concepts and terminology as well as ethical considerations in statistical analysis, laying a solid foundation for the topics that follow. The subsequent chapters explore into descriptive statistics, focusing on measures of central tendency, variability, and data summary techniques. It provides detailed explanations and examples of frequency distributions and graphical representations, equipping readers with the skills to effectively describe educational data. It then explores inferential statistics, including probability theory, sampling techniques, and hypothesis testing. The book distinguishes between parametric and non parametric tests, guiding readers through the process of making data-driven inferences. Data collection methods, including surveys, questionnaires, observational methods, case studies, and experimental designs, are examined in depth. The book also covers advanced topics such as correlation and regression analysis, experimental design, multivariate statistics, and statistical software applications, ensuring a sound understanding of modern research methodologies. With its emphasis on practical application, “Statistical Foundations in Educational Research – Theory and Practice” serves as an invaluable resource for every profession seeking to enhance their expertise in educational statistics.