Foundations and Applications of Statistics: An Introduction Using R

摘要: Foundations and Applications of Statistics simultaneously emphasises both the foundational computational aspects modern statistics. Engaging accessible, this book is useful to undergraduate students with a wide range backgrounds career goals. The exposition immediately begins statistics, presenting concepts results from probability along way. Hypothesis testing introduced very early, motivation for several distributions comes p-value computations. Pruim develops students' practical statistical reasoning through explicit examples numerical graphical summaries data that allow intuitive inferences before introducing formal machinery. topics have been selected reflect current practice in where computation an indispensible tool. In vein, computing environment $\textsf{R}$ used throughout text integral exposition. Attention paid developing mathematical skills as well their reasoning. Linear models, such regression ANOVA, are treated reference underlying linear algebra, which motivated geometrically. discusses theory statistics applications make it powerful tool across disciplines. contains ample material two-semester course A one-semester based on will cover hypothesis confidence intervals most common situations.