Statistics Using IBM SPSS
eBook - PDF

Statistics Using IBM SPSS

An Integrative Approach

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Statistics Using IBM SPSS

An Integrative Approach

About this book

Written in a clear and lively tone, Statistics Using IBM SPSS provides a data-centric approach to statistics with integrated SPSS (version 22) commands, ensuring that students gain both a deep conceptual understanding of statistics and practical facility with the leading statistical software package. With one hundred worked examples, the textbook guides students through statistical practice using real data and avoids complicated mathematics. Numerous end-of-chapter exercises allow students to apply and test their understanding of chapter topics, with detailed answers available online. The third edition has been updated throughout and includes a new chapter on research design, new topics (including weighted mean, resampling with the bootstrap, the role of the syntax file in workflow management, and regression to the mean) and new examples and exercises. Student learning is supported by a rich suite of online resources, including answers to end-of-chapter exercises, real data sets, PowerPoint slides, and a test bank.

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Yes, you can access Statistics Using IBM SPSS by Sharon Lawner Weinberg,Sarah Knapp Abramowitz in PDF and/or ePUB format, as well as other popular books in Psychology & Research & Methodology in Psychology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Dedication
  6. Table of contents
  7. Preface
  8. Acknowledgments
  9. 1 Introduction
  10. 2 Examining Univariate Distributions
  11. 3 Measures of Location, Spread, and Skewness
  12. 4 Re-expressing Variables
  13. 5 Exploring Relationships between Two Variables
  14. 6 Simple Linear Regression
  15. 7 Probability Fundamentals
  16. 8 Theoretical Probability Models
  17. 9 The Role of Sampling in Inferential Statistics
  18. 10 Inferences Involving the Mean of a Single Population When σ Is Known
  19. 11 Inferences Involving the Mean When σ Is Not Known: One- and Two-Sample Designs
  20. 12 Research Design: Introduction and Overview
  21. 13 One-Way Analysis of Variance
  22. 14 Two-Way Analysis of Variance
  23. 15 Correlation and Simple Regression as Inferential Techniques
  24. 16 An Introduction to Multiple Regression
  25. 17 Nonparametric Methods
  26. Appendix A Data Set Descriptions
  27. Appendix B Generating Distributions for Chapters 8 and 9 Using SPSS Syntax
  28. Appendix C Statistical Tables
  29. Appendix D References
  30. Appendix E Solutions to Exercises
  31. Appendix F The Standard Error of the Mean Difference for Independent Samples: A More Complete Account (Optional)
  32. Index