This book offers a comprehensive and accessible introduction to statistics, designed to cater to students, researchers, and professionals across multiple disciplines. Recognising that statistical knowledge is no longer optional but essential, it emphasises both theoretical foundations and practical applications. By combining rigorous explanation with real-world examples, the text enables readers to understand complex concepts while appreciating their relevance in contemporary decision-making. Structured across eight chapters, the book begins with the basics of statistics, exploring its meaning, importance, types of data, and methods of collection. Subsequent chapters focus on data presentation, measures of central tendency and dispersion, and probability distributions, establishing a solid foundation for statistical reasoning. Advanced topics, including statistical inference, correlation, regression, and analysis of variance (ANOVA), are explained with clarity, providing readers with the tools to interpret data, test hypotheses, and draw meaningful conclusions. Non-parametric tests and applications in business, social sciences, health, and the environment further illustrate the versatility of statistical methods. An important feature of this book is its focus on modern computational tools. Chapters include guidance on Microsoft Excel, SPSS, and R, enabling readers to analyse large datasets efficiently, visualise results effectively, and conduct advanced modelling. Practical examples, exercises, and illustrations throughout the text make learning interactive and engaging, transforming abstract concepts into actionable insights. By balancing theory, application, and technology, this book serves as a complete resource, empowering readers to develop analytical thinking and make informed decisions in research, policy, and professional practice.
