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Foundations and Applications of Statistics: An Introduction Using R (Pure and Applied Undergraduate Texts), by Randall Pruim
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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.
- Sales Rank: #208980 in Books
- Published on: 2011-04-27
- Original language: English
- Dimensions: 10.00" h x 7.00" w x 1.25" l, 2.90 pounds
- Binding: Hardcover
- 615 pages
Most helpful customer reviews
5 of 6 people found the following review helpful.
Frustrating
By Hongyang
I use this book for a statistics course in college. Learning statistics with this book is simply frustrating. The way it explains things is to throw at you definitions and go directly from there to arrive at corollaries and theorems. The problem is it does not even explain what the concept is. It would define something as the result of an equation without even bothering to explicate the intuition behind the mathematical symbol. That not only makes the book extremely uninteresting but creates difficulties for comprehension.
3 of 4 people found the following review helpful.
Extremely Clear, Approachable, and Sufficiently Rigorous
By Graham D. Peterson
Statistics courses tend to bifurcate into two tracks -- extremely applied treatments for engineering, biological, and some social science students -- and quite sophisticated treatments for mathematics and statistics students. This book falls between those tracks, and is really remarkable in doing so. All proofs are thoroughly motivated, with the intuition of them stressed. Derivations assume an intermediate proof writing ability (advanced and well endowed mathematics students will find them pedantic, I'm sure). The exercises are quite challenging, but not in a way that many texts are, in that they assume written material has been understood with great depth, and then challenge readers to interesting cases and extensions of that material. Those sorts of exercises exist in the text, but more traditional cookbook style exercises obtain as well to walk readers into the material. This is one of the best statistics texts I have ever read.
0 of 1 people found the following review helpful.
One Star
By TrueGrizzFan
Stay away from this book. See if your professor allow to you have a different book.
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