This book provides a comprehensive yet conceptually clear introduction to statistical methods in biological research, integrating fundamental principles with real-world applications. Covering key areas such as data understanding, sampling, experimental design, regression analysis, and statistical inference, emphasizes how statistical tools can be used to interpret complex biological phenomena and support evidence-based decision-making. Written in a humanised and application-oriented style, the book bridges the gap between theory and practice, making it suitable for students, researchers, and professionals in the biological and health sciences. focusing on practical examples from agriculture, medicine, and public health, it enables readers to develop both statistical thinking and analytical skills necessary for modern scientific research.