Statistics

Statistics: An Introduction Using R provides an accessible gateway to statistical analysis through the powerful capabilities of the R software environment. Michael J. Crawley presents a methodical approach that guides readers from fundamental concepts to more advanced modelling techniques, ensuring a thorough understanding even for those with no prior background in mathematics, statistics, or programming. This textbook is structured around clear, step-by-step instructions enriched by realistic examples that build in complexity. Readers are encouraged to critically assess model assumptions - such as homogeneity of variance and error normality - while focusing on the estimation of effect sizes and confidence intervals rather than on traditional hypothesis testing. Covering a comprehensive array of statistical methods, from basic t-tests and chi-squared tests to regression, analysis of variance, and generalized linear modelling, this introductory text equips students across various disciplines with the essential tools for effective data analysis. Numerous worked examples and exercises further cement the learning process, making this book an ideal resource for both undergraduate and postgraduate students seeking a solid foundation in statistical methodology using R.