Statistical Concepts for the Behavioral Sciences
eBook - PDF

Statistical Concepts for the Behavioral Sciences

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

Statistical Concepts for the Behavioral Sciences

About this book

The fourth edition of Statistical Concepts for the Behavioral Sciences emphasizes contemporary research problems to better illustrate the relevance of statistical analysis in scientific research. All statistical methods are introduced in the context of a realistic problem, many of which are from contemporary published research. These studies are fully referenced so students can easily access the original research. The uses of statistics are then developed and presented in a conceptually logical progression for increased comprehension by using the accompanying workbook and the problem sets. Several forms of practice problems are available to students and presented in a manner that assists students in mastering component pieces before integrating them together to tackle more complicated, real-world problems.

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Yes, you can access Statistical Concepts for the Behavioral Sciences by Harold O. Kiess,Bonnie A. Green in PDF and/or ePUB format, as well as other popular books in Psychology & History & Theory in Psychology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half title page
  3. Title page
  4. Copyright page
  5. Brief Contents
  6. Contents
  7. Preface
  8. Chapter 1 Making Sense of Variability: An Introduction to Statistics
  9. Chapter 2 Statistics in the Context of Scientific Research
  10. Chapter 3 Looking at Data: Frequency Distributions and Graphs
  11. Chapter 4 Looking at Data: Measures of Central Tendency
  12. Chapter 5 Looking at Data: Measures of Variability
  13. Chapter 6 The Normal Distribution, Probability, and Standard Scores
  14. Chapter 7 Understanding Data: Using Statistics for Inference and Estimation
  15. Chapter 8 Is There Really a Difference? Introduction to Statistical Hypothesis Testing
  16. Chapter 9 The Basics of Experimentation and Testing for a Difference Between Means
  17. Chapter 10 One-Factor Between-Subjects Analysis of Variance
  18. Chapter 11 Two-Factor Between-Subjects Analysis of Variance
  19. Chapter 12 One-Factor Within-Subjects Analysis of Variance
  20. Chapter 13 Correlation: Understanding Covariation
  21. Chapter 14 Regression Analysis: Predicting Linear Relationships
  22. Chapter 15 Nonparametric Statistical Tests
  23. Appendix A Mathematics Review
  24. Appendix B Statistical Symbols
  25. Appendix C Statistical Tables
  26. Appendix D Commonly Used Formulas
  27. Appendix E Answers for Computational Problems
  28. Appendix F Glossary
  29. References
  30. Name Index
  31. Subject Index