Statistics for Criminology and Criminal Justice
eBook - ePub

Statistics for Criminology and Criminal Justice

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

Statistics for Criminology and Criminal Justice

About this book

Communicating the excitement and importance of criminal justice research, this practical and comprehensive book shows students how to perform and understand statistical analyses, while helping them recognize the connection between statistical analyses used in everyday life and their importance to criminology and criminal justice. This updated Fifth Edition is packed with real-world case studies and contemporary examples utilizing the most current crime data and empirical research available. Each chapter presents a particular statistical method in the context of a substantive research story.


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Yes, you can access Statistics for Criminology and Criminal Justice by Ronet D. Bachman,Raymond Paternoster,Theodore H. Wilson in PDF and/or ePUB format, as well as other popular books in Social Sciences & Criminology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
SAGE Publications, Inc
Year
2021
Print ISBN
9781544375700
eBook ISBN
9781544375687
Edition
5
Topic
Social Sciences
Subtopic
Criminology
Index
Social Sciences

Table of contents

  1. Cover
  2. Half Title
  3. Acknowledgements
  4. Title Page
  5. Copyright Page
  6. Brief Contents
  7. Detailed Contents
  8. Preface
  9. Acknowledgments
  10. About the Authors
  11. Chapter One The Importance of Statistics in the Criminological Sciences or Why Do I Have to Learn This Stuff?
  12. Part One Univariate Analysis Describing Variable Distributions
  13. Chapter Two Levels of Measurement and Aggregation
  14. Chapter Three Data Visualization Techniques Ways of Understanding Data Distributions
  15. Chapter Four Measures of Central Tendency
  16. Chapter Five Measures of Dispersion
  17. Part Two Making Inferences in Univariate Analysis Generalizing From a Sample to the Population
  18. Chapter Six Probability, Probability Distributions, and an Introduction to Inferential Statistics
  19. Chapter Seven Point Estimation and Confidence Intervals
  20. Chapter Eight From Estimation to Statistical Tests Hypothesis Testing for One Population Mean and Proportion
  21. Part Three Bivariate Analysis Relationships Between Two Variables
  22. Chapter Nine Testing Hypotheses With Categorical Data
  23. Chapter Ten Hypothesis Tests Involving Two Population Means or Proportions
  24. Chapter Eleven Hypothesis TestinG Involving Three or More Population Means Analysis of Variance
  25. Chapter Twelve Bivariate Correlation and Regression
  26. Part Four Multivariable Analysis Predicting One Dependent Variable With Two or More Independent Variables
  27. Chapter Thirteen Controlling for a Third Variable Multiple OLS Regression
  28. Chapter Fourteen Regression Analysis With a Dichotomous Dependent Variable Logit Models
  29. Appendix A Review of Basic Mathematical Operations
  30. Appendix B Statistical Tables
  31. Appendix C Solutions to Odd-Numbered Practice Problems
  32. Glossary
  33. References
  34. Index
  35. Acknowledgements