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Handbook of Parametric and Nonparametric Statistical Procedures: Third Edition [Hardcover]

David J. Sheskin (Author)
5.0 out of 5 stars  See all reviews (7 customer reviews)


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Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition 3.4 out of 5 stars (7)
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Book Description

August 27, 2003 1584884401 978-1584884408 3
Called the "bible of applied statistics," the first two editions of the Handbook of Parametric and Nonparametric Statistical Procedures were unsurpassed in accessibility, practicality, and scope. Now author David Sheskin has gone several steps further and added even more tests, more examples, and more background information-more than 200 pages of new material.

The Third Edition provides unparalleled, up-to-date coverage of over 130 parametric and nonparametric statistical procedures as well as many practical and theoretical issues relevant to statistical analysis. If you need to…

  • Decide what method of analysis to use
  • Use a particular test for the first time
  • Distinguish acceptable from unacceptable research
  • Interpret and better understand the results of pubished studies

    …the Handbook of Parametric and Nonparametric Statistical Procedures will help you get the job done.


  • Product Details

    • Hardcover: 1193 pages
    • Publisher: Chapman and Hall/CRC; 3 edition (August 27, 2003)
    • Language: English
    • ISBN-10: 1584884401
    • ISBN-13: 978-1584884408
    • Product Dimensions: 10.4 x 7 x 2.8 inches
    • Shipping Weight: 5 pounds
    • Average Customer Review: 5.0 out of 5 stars  See all reviews (7 customer reviews)
    • Amazon Best Sellers Rank: #2,144,795 in Books (See Top 100 in Books)

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    Customer Reviews

    7 Reviews
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    22 of 23 people found the following review helpful:
    5.0 out of 5 stars A great aid for understanding the use of statistical tests., May 31, 1998
    By 
    S. Tescione (Seattle, WA United States) - See all my reviews
    (REAL NAME)   
    From a student's point of view, this book contains numerous aids to assist in understanding the application of many statistical tests. For example, the decision charts on pages 27-30 help to determine what tests are applicable for analysis given the type of data the researcher plans to obtain in the study. I might decide that the use of the Kruskal-Wallis is appropriate. The chart refers me to Test 17, which is on page 396. I can go to that page, and get a complete plain-language explanation of the test and what it measures. Examples are provided for each test to determine appropriateness, and this section is followed by an example with computations. A complete analysis of the data and a discussion of the test ensues. All of the necessary tables for computation are included in appendices. I am a complete novice at statistics, and this book has helped me to understand material in classroom lectures.
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    17 of 17 people found the following review helpful:
    5.0 out of 5 stars Comprehensive, valuable reference, April 10, 2002
    By 
    "s_shepherd" (San Diego, CA United States) - See all my reviews
    This is an excellent, exceptionally comprehensive, and well-structured reference on a wide range of inferential tests and measures of association, which is ideal for the applied scientist. After a few useful introductory chapters that provide definitions and outline the main concepts involved in inferential statistics, the various tests are covered chapter by chapter. Each chapter contains sections describing:
    1. the hypotheses evaluated and relevant background information;
    2. examples of the kind of problems that can be addressed using the test
    3. the null and alternative hypotheses;
    4. computation (including meticulously worked out examples so the reader can follow the precise workings);
    5. an extensive set of notes describing the interpretation of the results, the assumptions of the test, the robustness of the test to violations of those assumptions, and comparisons with alternative tests;
    6. a set of references.
    A set of decision tables are provided to assist the user in selecting the appropriate test, and there are additional extensive discussions in the various chapters to assist further if required. The book also includes an extensive list of look-up tables for significance testing. An additional valuable feature of the book is that in the chapter on the nonparametric test for a difference in medians of two populations (Mann-Whitney U-test) there is included discussions about permutation and randomization tests.

    The target audience of the book is the practioner rather than the theoretician. The book aims to assist in the selection of an appropriate test and the interpretation of the test results rather than on a theoretical discussion of the test. The text is exceptionally clearly written, and is highly accessible to non-experts in statistics. There is a minimum of equations, which are supplied only where necessary. While it is not that hard to find a few editorial omissions, the book does seem to have been edited carefully, and I have as yet stumbled across only trivial errors. If I were forced to find any criticism, about the only thing I could say is that at the top of the page the chapter headings are listed purely in terms of test number without listing the test name, which sometimes makes it a little harder to find the test of interest.

    I make absolutely no hesitation in recommending this book to anyone who makes use of inferential statistics.

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    3 of 3 people found the following review helpful:
    5.0 out of 5 stars Very clear written, very good organization - very good book, July 16, 2005
    Amazon Verified Purchase(What's this?)
    This review is from: Handbook of Parametric and Nonparametric Statistical Procedures: Third Edition (Hardcover)
    The overall organization is very good. You will find the test you need with the help of the #guidline and decision table for selecting the appropriate statistical procedure# on page 113. The explanations given to the tests are very understandable. That means, you should be able to reproduce the examples given in the book with out problems. Additionally, at the end of each chapter is a bibliography for the test presented in this chapter. At the begining of each chapter some historical remark for the test are given.

    This book is very good, because its contents is presented in a very good way. I can strongly recommend.
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    Inside This Book (learn more)
    First Sentence:
    Hypothesis evaluated with test Does a sample of n subjects (or objects) come from a population in which the mean (u) equals a specified value? Read the first page
    Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
    dependent samples design, absolute value ofz, latter alternative hypothesis, directional alternative hypothesis, albino pups, binomial sign test, serial randomness, minimum required difference, subjects exhibit differences, tabled critical value, computing omega squared, squared difference scores, combined probability value, rejected ifthe, involving unequal sample sizes, oftreatment effect, test summary table, zero difference scores, underlying population the sample, original prior probabilities, ofthe sampling distribution, additional analytical procedures, available comparison procedures, computed value oft, conducting pairwise comparisons
    Key Phrases - Capitalized Phrases (CAPs): (learn more)
    New York, John Wiley, Lawrence Erlbaum Associates, Annals of Mathematical Statistics, Cole Publishing Company, Prentice Hall, Book Company, Interpretation of the Test Results, Related Tests, Journal of the American Statistical Association, Example Example, Table of the Normal Distribution, Table All, Upper Saddle River, Psychological Bulletin, Academic Press, Alternative Hypotheses Null, Pacific Grove, Duxbury Press, Nonparametric Test Employed, Englewood Cliffs, Total Column, Indagationes Mathematicae, Monte Carlo, American Psychologist
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