Principles & Methods of Statistical Analysis
eBook - ePub

Principles & Methods of Statistical Analysis

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Principles & Methods of Statistical Analysis

About this book

This unique intermediate/advanced statistics text uses real research on antisocial behaviors, such as cyberbullying, stereotyping, prejudice, and discrimination, to help readers across the social and behavioral sciences understand the underlying theory behind statistical methods. By presenting examples and principles of statistics within the context of these timely issues, the text shows how the results of analyses can be used to answer research questions. New techniques for data analysis and a wide range of topics are covered, including how to deal with "messy data" and the importance of engaging in exploratory data analysis.

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Yes, you can access Principles & Methods of Statistical Analysis by Jerome Frieman,Donald A. Saucier,Stuart S. Miller in PDF and/or ePUB format, as well as other popular books in Social Sciences & Education Theory & Practice. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Publisher Note
  4. Title Page
  5. Copyright Page
  6. Brief Contents
  7. Detailed Contents
  8. Preface
  9. About the Authors
  10. Prologue
  11. Part I Getting Started
  12. 1 The Big Picture
  13. 2 Examining Our Data: An Introduction to Some of the Techniques of Exploratory Data Analysis
  14. Part II The Behavior of Data
  15. 3 Properties of Distributions: The Building Blocks of Statistical Inference
  16. PART III The Basics of Statistical Inference: Drawing Conclusions From Our Data
  17. 4 Estimating Parameters of Populations From Sample Data
  18. 5 Resistant Estimators of Parameters
  19. 6 General Principles of Hypothesis Testing
  20. PART IV Specific Techniques to Answer Specific Questions
  21. 7 The Independent Groups t-Tests for Testing for Differences Between Population Means
  22. 8 Testing Hypotheses When the Dependent Variable Consists of Frequencies of Scores in Various Categories
  23. 9 The Randomization/Permutation Model: An Alternative to the Classical Statistical Model for Testing Hypotheses About Treatment Effects
  24. 10 Exploring the Relationship Between Two Variables: Correlation
  25. 11 Exploring The Relationship Between Two Variables: The Linear Regression Model
  26. 12 A Closer Look at Linear Regression
  27. 13 Another Way to Scale The Size of Treatment Effects
  28. 14 Analysis of Variance for Testing for Differences Between Population Means
  29. 15 Multiple Regression and Beyond
  30. Epilogue
  31. Appendix A: Some Useful Rules of Algebra
  32. Appendix B: Rules of Summation
  33. Appendix C Logarithms
  34. Appendix D The Inverse of the Cumulative Normal Distribution
  35. Appendix E The Unit Normal Distribution
  36. Appendix F The t-Distribution
  37. Appendix G The Fisher r to zr Transformation
  38. Appendix H Critical Values for F With Alpha = .05
  39. Appendix I The Chi Square Distribution
  40. References
  41. Index