Foundations and Applications of Statistics: An Introduction Using R (Pure and Applied Undergraduate Texts)

Pruim, Randall

ISBN 10: 0821852337 / ISBN 13: 9780821852330

Published by Amer Mathematical Society, 2011

About this Item

This book is in Good condition. There may be some notes and highligting but otherwise the book is in overall good condition.

Seller Inventory # 5D4WH5000GJN_ns

Bibliographic Details

• Title: Foundations and Applications of Statistics: An Introduction Using R (Pure and Applied Undergraduate Texts)
• Publisher: Amer Mathematical Society
• Publication Date: 2011
• Language: English
• ISBN 10: 0821852337
• ISBN 13: 9780821852330
• Binding: Hardcover
• Condition: good

About this title

Synopsis

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