Essentials of Statistics for Criminology and Criminal Justice
eBook - ePub

Essentials of Statistics for Criminology and Criminal Justice

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

Essentials of Statistics for Criminology and Criminal Justice

About this book

Essentials of Statistics for Criminology and Criminal Justice helps students understand the vital role that research and statistics play in the study of criminology and criminal justice by showing them how to conduct and interpret statistics in real-world settings with a step-by-step approach to solving problems. This practical, applied approach offers students the fundamentals of descriptive and inferential statistics in a concise and easy-to-understand format—avoiding complicated proofs and discussions of statistical theory. The examples and case studies provide relevant examples for criminology and criminal justice students, and deal with contemporary issues related to crime, corrections, police, and the judicial system. Students will not only learn about the "how to" in statistics, but they will also recognize its importance in today's criminal justice system. 

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Yes, you can access Essentials of Statistics for Criminology and Criminal Justice by Raymond Paternoster,Ronet D. Bachman 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
2017
Print ISBN
9781506365473
eBook ISBN
9781506377148
Edition
1
Topic
Social Sciences
Subtopic
Criminology
Index
Social Sciences

Table of contents

  1. Cover
  2. Half Title
  3. Acknowledgements
  4. Publisher Note
  5. Title Page
  6. Copyright Page
  7. Brief Contents
  8. Detailed Contents
  9. Preface
  10. About the Authors
  11. 1 Setting the Stage: Why Learning This Stuff Is Important!
  12. 2 Understanding Data Distributions With Tables and Graphs
  13. Chapter 3 Measures of Central Tendency
  14. 4 Measures of Dispersion
  15. Chapter 5 Moving Beyond Description: Introducing Inferential Statistics—Probability Distributions and an Introduction to Hypothesis Testing
  16. Chapter 6 Point Estimation and Confidence Intervals
  17. Chapter 7 Hypothesis Testing for One Population Mean and Proportion
  18. Chapter 8 Testing Hypotheses With Categorical Data
  19. Chapter 9 Hypothesis Tests Involving Two Population Means or Proportions
  20. Chapter 10 Hypothesis Tests Involving Three or More Population Means: Analysis of Variance
  21. Chapter 11 Bivariate Correlation and Ordinary Least-Squares Regression
  22. Chapter 12 Controlling for a Third Variable Multiple Ordinary Least Squares Regression
  23. Appendix A Review of Basic Mathematical Operations
  24. Appendix B Statistical Tables
  25. Appendix C Solutions to Odd-Numbered Practice Problems
  26. Glossary
  27. References
  28. Index