Environmental statistics involves the use of statistical approaches to environmental science. It covers methods for managing questions regarding the natural ecosystem in its undisturbed condition. This reader-friendly book emphasizes the fields of probability hypothesis and dimensions that are significant in environmental data analysis, monitoring, research, ecological field studies, and ecological decision making. It discusses fundamental statistical theory with minimal documentation, however without precluding significant details and presumptions. The book likewise presents a hypothesis of how and why environmental physical cycles in the environment create right-slanted, lognormal dispersions. The volume likewise presents the Rollback Statistical Theory, which permits data analysts and administrators to appraise the impact of various emission control methodologies on environmental quality frequency diffusions. Assuming just a simple understanding of polynomial math and analytics, Environmental Data Analysis and Statistics provides a superior reference and assortment of measurable strategies for investigating environmental data and developing precise environmental predictions.