Foundations of Probability and Statistics Using R Programming

Book Description

Probability and statistics form the bedrock of scientific inquiry, enabling us to make sense of randomness, uncertainty, and variability in natural and social phenomena. In the era of data-driven decision-making, the importance of a solid grounding in statistical thinking has never been greater. At the same time, R has emerged as a powerful and flexible programming language for statistical computing and data visualization, empowering students, researchers, and practitioners alike. This book, Foundations of Probability and Statistics Using R Programming, is the result of a collaborative effort among authors from diverse academic backgrounds, united by a common goal: to provide a clear, comprehensive, and applied introduction to probability and statistics, enriched by the practical capabilities of R. Each chapter integrates theoretical rigor with computational examples, ensuring that readers not only understand key concepts but also learn how to implement them in practice. The book is intended for advanced undergraduate and beginning graduate students in statistics, mathematics, data science, and related disciplines. It assumes a basic familiarity with calculus and linear algebra but no prior exposure to R programming or advanced statistics.