3 Review(s)

This book brings together the essential methods of statistics and their role in understanding agriculture and experimental biology in the modern era. It explains how numbers, data, and scientific analysis are not just figures but powerful tools that shape farming practices, food security, and rural development. The content builds a bridge between economic realities, policy decisions, and biological outcomes. It shows how careful measurement, statistical reasoning, and analysis can influence productivity, improve decision-making, and create a foundation for sustainable development. Statistical Methods in Agriculture and Experimental Biology is a valuable guide for students, researchers, academicians, and policymakers who wish to explore the deep relationship between statistics and agriculture. This book will be especially useful for those in agricultural sciences, economics, and biological research.