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Statistics Using SPSS
An Integrative Approach

2nd Edition

$70.00

textbook
  • Date Published: January 2008
  • availability: In stock
  • format: Paperback
  • isbn: 9780521676373

$70.00
Paperback

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About the Authors
  • This is an introductory applied statistics text that can be used for a one- or two-semester course at either the undergraduate or graduate level. Central features are its hands-on approach; the use of real data; the wealth of exercises and illustrated examples using these data; the complete set of detailed answers to exercises in an appendix; the presentation of statistical methods with a clear, conceptual emphasis that includes an historical account of each method; and the integration of SPSS in a way that reflects statistical practice. Step-by-step instructions for using SPSS are provided as each new analytic procedure is introduced. A data CD is included with the text so that students may conduct their own statistical analyses and learn firsthand how statistics is used in practice.

    • Conceptual understanding is emphasized through an exploration of underlying mathematical principles and real world applications
    • Uses the same real data sets repeatedly throughout the text to create a more cohesive presentation that links the different methods of analysis
    • Includes a data CD so that students may conduct their own statistical analyses
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    Reviews & endorsements

    "In Statistics Using SPSS, An Integrative Approach, Weinberg and Abramowitz have written an engaging and accessible introduction to the practice of statistics. A hands-on approach and a wealth of exercises and examples immerse the reader in the process of data analysis from the very beginning. Students and practitioners alike will benefit from the book’s careful, gentle prose, its use of real data, and its step-by-step demonstrations of analytical techniques in SPSS. Perhaps best of all, the authors remain firmly grounded in application. Unlike many texts, In Statistics Using SPSS never loses sight of how statistics can be used to help us describe and better understand the world around us."

    Sean P. Corcoran, Assistant Professor of Educational Economics, New York University

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    Product details

    • Edition: 2nd Edition
    • Date Published: January 2008
    • format: Paperback
    • isbn: 9780521676373
    • length: 768 pages
    • dimensions: 254 x 203 x 33 mm
    • weight: 1.52kg
    • availability: In stock
  • Table of Contents

    1. Introduction
    2. Examining univariate distributions
    3. Measures of location, spread, and skewness
    4. Re-expressing variables
    5. Exploring relationships between two variables
    6. Simple linear regression
    7. Probability fundamentals
    8. Theoretical probability models
    9. The role of sampling in inferential statistics
    10. Inferences involving the mean of a single population when o is known
    11. Inferences involving the mean when o is not known: one and two sample designs
    12. One-way analysis of variance
    13. Two-way analysis of variance
    14. Correlation and simple regression as inferential techniques
    15. An introduction to multiple regression
    16. Nonparametric methods
    Appendix A. Data set descriptions
    Appendix B. SPSS macro to generate a sampling distribution of means
    Appendix C. Statistical tables
    Appendix D. References
    Appendix E. Solutions to exercises.

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    General ResourcesPowerpoint SlidesChapter 2ppt733KB0powerpoint slides general resources powerpoint slides general resourcespowerpoint slides
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    General ResourcesPowerpoint SlidesChapter 5 version 2ppt711KB6powerpoint slides general resources powerpoint slides general resourcespowerpoint slides
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    These resources are provided free of charge by Cambridge University Press with permission of the author of the corresponding work, but are subject to copyright. You are permitted to view, print and download these resources for your own personal use only, provided any copyright lines on the resources are not removed or altered in any way. Any other use, including but not limited to distribution of the resources in modified form, or via electronic or other media, is strictly prohibited unless you have permission from the author of the corresponding work and provided you give appropriate acknowledgement of the source.

    If you are having problems accessing these resources please email cflack@cambridge.org

  • Authors

    Sharon Lawner Weinberg, New York University
    Sharon L. Weinberg is Professor of Quantitative Methods and Psychology and former Vice Provost for Faculty Affairs at New York University. She is widely published, with over 50 publications in her field, including books, book chapters, journal articles, and major reports. She is the recipient of numerous grants and author with Kenneth P. Goldberg of Statistics for the Behavioral Sciences (Cambridge, 1990).

    Sarah Knapp Abramowitz, Drew University, New Jersey
    Sarah Knapp Abramowitz is Assistant Professor of Mathematics and Computer Science at Drew University. She received her Ph.D. from New York University and is an Associate Editor of the Journal of Statistics Education.

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