Foundations and Applications of Statistics: An Introduction Using R (Pure and Applied Undergraduate Texts)
| Author | : | |
| Rating | : | 4.49 (910 Votes) |
| Asin | : | 0821852337 |
| Format Type | : | paperback |
| Number of Pages | : | 615 Pages |
| Publish Date | : | 2016-02-14 |
| Language | : | English |
DESCRIPTION:
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. A one-semester course based on the book will cover hypothesis testing and confidence intervals for the most common situations.. Linear models, such as regression and ANOVA, are treated with explicit reference to the underlying linear algebra, which is motivated geometrically. 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 book contains ample material for a two-semester course in undergraduate probability and statistics. Attention is paid to developing students' mathematical and computational skills as well as their statistical reasoning. Engaging and accessible, this book is useful to undergraduate students with a wide range of backgrounds and career goals. Foundations and Applications of Statistics discusses both the mathematical theory underlying statistics and practical applications that make it a powerful tool across disciplines. Hypothesis testing is introduced very early, and the
Frustrating 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.. Extremely Clear, Approachable, and Sufficiently Rigorous 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 qui. One Star Stay away from this book. See if your professor allow to you have a different book.