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Statistics 5th Edition

3.3 out of 5 stars 16 customer reviews
ISBN-13: 978-0030744679
ISBN-10: 0030744679
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Review

Preface. Introduction. Elementary Probability Theory. Frequency and Probability Distributions. A Discrete Random Variable: The Binomial. Central Tendency and Variability. Sampling Distributions and Point Estimation. Normal Population and Sampling Distributions. Hypothesis Testing. Inferences About Population Means. The Chi-Square and F Distributions. The General Linear Model and the Analysis of Variance. Comparisons Among Means. Factorial Designs and Higher-Order Analysis of Variance. Analysis of Variance Models II and III: Random Effects and Mixed Models. Problems in Regression and Correlation. Partial and Multiple Regression. Further Topics in Regression. The Analysis of Covariance. Analyzing Qualitative Data: Chi-Square Tests. Terms You Should Know. Practice Exercises. Exercises. Appendix A: Rules of Summation. Appendix B: The Algebra of Expectations. Appendix C: Joint Random Variables and Linear Combinations. Appendix D: Some Principles and Applications of Matrix Algebra. Appendix E: Sets and Functions. Appendix F: Tables. Appendix G: Solutions to Selected Exercises References and Suggestions for Further Reading. Glossary of Symbols. Index.
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Product Details

  • Hardcover: 1136 pages
  • Publisher: Wadsworth Publishing; 5 edition (January 2, 1994)
  • Language: English
  • ISBN-10: 0030744679
  • ISBN-13: 978-0030744679
  • Product Dimensions: 9.5 x 7.6 x 1.8 inches
  • Shipping Weight: 3 pounds
  • Average Customer Review: 3.3 out of 5 stars  See all reviews (16 customer reviews)
  • Amazon Best Sellers Rank: #397,658 in Books (See Top 100 in Books)

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Customer Reviews

Top Customer Reviews

Format: Hardcover
I agree with Van Denburg's evaluation.
I am a graduate student in Psychology, and I find the Hays text mostly illegible. His prose is dense and his explanations rely very heavily on mathematical formulae instead of real-world or logical/verbal descriptions. Furthermore, he falls into the typical "math textbook" pit of giving solutions to only the example problems that are exceptions to what one would usually encounter.
This is especially bad considering that my concentration specializes in statistical inference, and I've studied mathematics through differential equations (including linear algebra, multivariate).
Worse, Hays has a tendency to use different symbols to represent variables compared to other statistical texts (and in some cases, the rest of the world!)
Lastly, the tables that Hays has in the back of his book are not notated. He does not explain what each table represents, or what the x or y axis are. In one case, he has two entries for each lookup in the ANOVA Power of Association (omega squared) (Table XII, page 1032). Nowhere in the table does it mention what these two values are for.
It is only in one paragraph 600 pages earlier, that he explains that the two values are for alpha=0.05 and 0.01 and that n must be equal for both groups!! (page 410)
I am currently relying on several other texts to understand statistics for the social/behaviourial sciences. If you are extremely comfortable with mathematics to describe your behaviourial tests, you may find this book valuable. If you prefer a more descriptive approach, I suggest another one.
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Format: Hardcover Verified Purchase
Hays's text is not meant for everyone; hence the mixed reviews. It was not the primary source from which I gained my knowledge of statistics; however it serves as an invaluable reference. Unlike some of the other reviewers, I had little difficulty understanding the material as Hays presented it. Some of the criticisms are points well-taken; for example a lack of annotation in the power tables at the end of the book (which are still decipherable if you know what you're looking at).
This text is for the mathematically inclined-it is not a "how-to" book, rather a "why" book that thoroughly explains the theory behind a variety of popular inferential techniques. If this is the sort of knowledge you are seeking, Hays is the book for you. If you are interested in a more "common-sense" or applied approach, perhaps you should look elsewhere.
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Format: Hardcover
This text is a true CLASSIC in the field of statistics. It is unique, extremely well-written, and a book you will return to time after time if you are serious about learning and understanding statistics. Hays' unique style is such that in his explanations, he takes you a step back, then two steps forward. While it can be said that some writers on statistics don't really understand the subject themselves (which makes it almost impossible to learn from them), this is definitely not the case with Hays's text. Hays' grasp of statistics is unmatched.
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Format: Hardcover
'Hays' is truely a classic; one of the few books that will stay close at hand as long as I work (as an applied social scientist). It did not teach me statistics, but since then the book has helped me many times to understand statistics a bit better. Don't use it as an introduction to the field. Reach for this book every time you want to know more about "why so" after you have learned "how to do".
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Format: Hardcover
Although the edition is full or grammatical and even mathematical errors (thank God our prof points each of these out), the text itself has been very useful and allows for the enhancement of one's statistical knowledge. The only reason it did not get a 5-Star is due to the faulty and unprofessional errors. The author really needs to find a new editor.
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Format: Hardcover
If you are a graduate student and your professor has assigned this book, I suggest that you implore him/her to do a search for another book ASAP. Concepts are poorly explained and worst of all, the book is filled with typos! In a subject that is already confusing enough as it is, incorrect equations and other errors are absolutely unacceptable.
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Format: Hardcover
In contrast to and to balance with Eric Van Denburg's review, I have always found Hays's book transparent and easy to get on with. I still recommend students (speech therapy and human communication) to Statistics when they have questions not easily answered by their normal texts. Never have I had a complaint from them. It just goes to show that books are like friends - some people will get along well with a particular book, while others can't stand it.
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Format: Hardcover Verified Purchase
The professor says we need this specific edition. He also criticizes it in just about every lecture. I didn't buy it with the intention of reading it to understand the field of Statistics as it is today, but so that I could do the assigned homework problems. I suppose its just as well that this edition is out of print, but it is adequate for my needs
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