Statistics for Criminology and Criminal Justice
The topics and presentation style of Statistics for Criminology and Criminal Justice are targeted to students who have a basic background in algebra but who have little or no exposure to the study of statistics. The content is presented in a sequential fashion. It begins with descriptive statistics, moves into probability and distributions, and ends with bivariate hypothesis testing and an introduction to regression. Emphasis is placed on balancing thoroughness with ease of understanding and applications in order to show students the importance of statistics in the practice and study of criminal justice and criminology.
- Paperback | 344 pages
- 185.42 x 228.6 x 22.86mm | 566.99g
- 01 May 2012
- SAGE Publications Inc
- Thousand Oaks, United States
About Jacinta M. Gau
Jacinta M. Gau received her Ph.D. from Washington State University in 2008 and is currently Associate Professor in the Department of Criminal Justice at the University of Central Florida, where she teaches, among other topics, doctoral-level quantitative methods and undergraduate research methods. Her research is primarily in policing, with an emphasis on police-community relations, race issues, and procedural justice and police legitimacy. Her published articles have appeared in multiple journals. She is co-author of the book Key Ideas in Criminology and Criminal Justice, published by SAGE, and co-editor of Race and Justice: An International Journal, also published by SAGE.
Table of contents
About the Author Preface Acknowledgements PART I: DESCRIPTIVE STATISTICS Chapter 1. Introduction to the use of Statistics in Criminal Justice and Criminology Chapter 2. Types of Variables and Levels of Measurement Chapter 3. Organizing, Displaying, and Presenting Data Chapter 4. Measures of Central Tendency Chapter 5. Measures of Dispersion PART II. PROBABILITY AND DISTRIBUTIONS Chapter 6. Probability Chapter 7. Population, Sample, and Sampling Distributions Chapter 8. Point Estimates and Confidence Intervals PART III: HYPOTHESIS TESTING Chapter 9. Hypothesis Testing: A Conceptual Introduction Chapter 10. Hypothesis Testing with Two Categorical Variables: Chi-Square Chapter 11. Hypothesis Testing with Two Population Means or Proportions Chapter 12. Hypothesis Testing with Three or More Population Means: Analysis of Variance Chapter 13. Hypothesis Testing with Two Continuous Variables: Correlation Chapter 14. Introduction to Regression Analysis