PDF Ebook Introductory Statistics, 5th Edition, by Thomas H. Wonnacott, Ronald J. Wonnacott
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Introductory Statistics, 5th Edition, by Thomas H. Wonnacott, Ronald J. Wonnacott

PDF Ebook Introductory Statistics, 5th Edition, by Thomas H. Wonnacott, Ronald J. Wonnacott
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An updated and revised edition of the popular introduction to statistics for students of economics or business, suitable for a one- or two-semester course. Presents an approach that is generally available only in much more advanced texts, yet uses the simplest mathematics consistent with a sound presentation. This Fifth Edition includes a wealth of new problems and examples (many of them real-life problems drawn from the literature) to support the theoretical discussion. Emphasizes the regression model, including nonlinear and multiple regression. Topics covered include randomization to eliminate bias, exploratory data analysis, graphs, expected value in bidding, the bootstrap, path analysis, robust estimation, maximum likelihood estimation and Bayesian estimation and decisions.
- Sales Rank: #209444 in Books
- Published on: 1990-01-02
- Original language: English
- Number of items: 1
- Dimensions: 9.30" h x 1.20" w x 7.40" l, 2.87 pounds
- Binding: Hardcover
- 736 pages
Most helpful customer reviews
4 of 5 people found the following review helpful.
Our class struggled with this one...
By A Customer
Admittedly, statistics is a challenging subject, but if it's well taught, smart and conscientious students will grasp it. Part of teaching it well calls for a textbook that understands students' needs and abilities, and can lead them systematically from where they are to higher levels of understanding and ability. For my money, Wonnacott & Wonnacott's Introductory Statistics is a clumsy effort in this respect. There isn't enough explanation of new concepts. The graphics and layout aren't very appealing. The examples weren't that useful for our class of social science majors. And each chapter is interrupted repeatedly with practice questions, which get in the way of building on concepts and maintaining a flow. As one other suffering student remarks here, you do a lot of flipping back and forth. OK, so statistics is hard; but this text makes it more difficult than it has to be, and less interesting than it can be. I speak not just for myself: this fall I was in a graduate class of bright, able, hard-working people, and many of them were having a very rough time of it. Something's wrong pedagogically when that happens. Let me recommend an alternative text--Minium, Clarke, & Coladarci's "Elements of Statistical Reasoning," second edition. I used this text four years ago in another intro class taught by Coladarci himself. He's a very talented educator, and he got a classroom full of math-anxious students through some very challenging stuff. Don't take my word for it, though. Check out the reviews on Amazon. They're deservedly very positive. I found myself going back to that book throughout this past semester whenever I was in deep water with Wonnacott and Wonnacott. Once again it pulled me through.
3 of 3 people found the following review helpful.
Been around forever
By not a natural
The Wonacott's, it seems, have been around forever, writing statistics texts of pretty good quality. I benefitted from their regression text when I was first got into regression analysis, and it was only afterward that I read their text on introductory statistics (second edition). Fortunately for me, it was on the shelf in the Free Library of Philadelphia.
Wonnacott's introductory text is a good one, but I doubt that I could use it with the beginning statistics students I teach every semester. Though they are not lacking in intelligence, they seem, almost everyone, to struggle with anything mathematical. Furthermore, insofar as the material is theoretical rather than practical and concrete, they struggle even more.
When evaluating Wonnacott's text, I think it is useful to bear in mind that they themselves are most accustomed to dealing with students in mathematics and economics. As a result, they are justified in assuming that their students have both the capability and interest to handle more difficult material. For students taking statistics under duress, however, especially those who have little or no interest in applying statistics to the disciplines they are studying, Wonnacott's otherwise solid text is not the best choice.
So, while I've enjoyed reading Wonnacott's introductory text, I don't think I'm selling my students short when I say that this is not the book for them. Levin and Fox they can handle, largly because it de-emphasizes theoretical concepts in favor of practical applications.
If you're so inclined, however, this is a good text for self-instruction or review. If you're using it for self-instruction, don't rush and don't expect to read the book from start to finish without struggling a bit with some of the concepts. Wonnacott's introductory text is sufficiently sophisticated that it merits close study and discloses some of the irritatingly counter-intuitive ideas that undergird statistics.
4 of 5 people found the following review helpful.
Excellent Introductory Text
By Stephen Hess
This text provides a thorough introduction to the use of mathematical statistics. Carefully reading the text and solving a reasonable number of the problems will provide one with the capability to apply statistical techniques to analyze data and draw conclusions in real applications. The book is strong on examples but light on theory. Particulary noteworhty is the inclusion of several topics (such as Monte Carlo methods and Bayesian decision theory) that typically are not covered in an introductory presentation. Also useful are the end of chapter "Final Challenges" that require the reader to have mastered the material. If one's objective is to apply statistics to draw appropriate inferences and make decisions, this text will provide the reader with the required tools.
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