Statistics and Data Analysis for Social Science
eBook - ePub

Statistics and Data Analysis for Social Science

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

Statistics and Data Analysis for Social Science

About this book

Apply statistics to your everyday life.Ā 

Statistics and Data Analysis for Social Science helps students to build a strong foundational understanding of statistics by providing clarity around when and why statistics useful. Rather than focusing on the "how to" of statistics, author Eric J. Krieg simplifies the complexity of statistical calculations by introducing only what is necessary to understanding each concept. Every chapter is written around and applied to a different social problem or issues—enabling students to broaden their imagination about the statistical "tools" that can be used to make sense of our world and, maybe, to make the world a better place.Ā 

In addition to updating all the tables and examples with new data, theĀ Second EditionĀ has replaced the section on SPSS with three new sets of exercises at the end of each chapter:

  1. Chapter ExercisesĀ for students complete during their reading and bring questions to class,
  2. In-Class ExercisesĀ that focus on the areas that students struggled with during their reading, and
  3. Homework ExercisesĀ that can be assigned if students need extra practice with the concepts.

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Yes, you can access Statistics and Data Analysis for Social Science by Eric J. Krieg in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Publisher Note
  3. Half Title
  4. Acknowledgements
  5. Title Page
  6. Copyright Page
  7. Brief Contents
  8. Detailed Contents
  9. Preface
  10. Acknowledgments
  11. About the Author
  12. Chapter 1 Concepts, Variables, and Measurement
  13. Chapter 2 Frequency Tables
  14. Chapter 3 Measures of Central Tendency
  15. Chapter 4 Measures of Dispersion
  16. Chapter 5 Probability and the Normal Curve
  17. Chapter 6 Probability—From Samples to Statistics
  18. Chapter 7 Cross-tabulation and Chi-Square
  19. Chapter 8 Measures of Association for Categorical Variables
  20. Chapter 9 Analysis of Variance
  21. Chapter 10 Correlation and Regression
  22. Appendix
  23. Answers to Chapter Exercises
  24. Answers to In-Class Exercises
  25. Glossary
  26. References
  27. Index
  28. Publisher Note