
Preface  Preview Material  Table of Contents  Supplementary Material 
Pure and Applied Undergraduate Texts 2011; 615 pp; hardcover Volume: 13 ISBN10: 0821852337 ISBN13: 9780821852330 List Price: US$85 Member Price: US$68 Order Code: AMSTEXT/13 See also: Modelling in Healthcare Probability: The Science of Uncertainty: with Applications to Investments, Insurance, and Engineering  Michael A Bean Mathematical Statistics: Asymptotic Minimax Theory  Alexander Korostelev and Olga Korosteleva  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 pvalue 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 \(\mathsf{R}\) 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 twosemester course in undergraduate probability and statistics. A onesemester course based on the book will cover hypothesis testing and confidence intervals for the most common situations. Request an examination or desk copy. Readership Undergraduate students interested in statistics. 


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