Buch, Englisch, 344 Seiten, Format (B × H): 178 mm x 229 mm
Buch, Englisch, 344 Seiten, Format (B × H): 178 mm x 229 mm
ISBN: 978-1-4129-9127-8
Verlag: SAGE Publications
KEY FEATURES
The underlying theory and logical underpinning that drive statistical analyses are presented for students to understand the math. Without the theory of probability, the logic of hypothesis testing, and the understanding of their practical application, students will resort to trying to memorize rather than trying to truly understand.
All in-text examples and end-of-chapter exercises use real data to show how statistics are used in everyday life and in a criminal justice/criminology related career.
Research Example boxes appear throughout the chapters. These examples are short summaries of peer-reviewed journal articles that used one of the techniques covered in the chapter so that students can see the practical application of that technique.
Data Source boxes that describe some common, publicly-available data sets like the Uniform Crime Statistics, National Crime Victimization Survey, State Court Processing Statistics, General Social Survey, and others are presented to provide practical applications to offset the often-abstract topic of statistics for criminal justice students.
The text has more coverage of probability than other comparable textbooks to better acquaint students with ist application to criminal justice.
Each chapter ends with a section on SPSS to be used with one or more pared-down versions of a major data set in SPSS format.
Extensive chapter review questions and exercises are included at the end of each chapter, with the answers to the odd-numbered questions/exercises included in the back of the book.
Autoren/Hrsg.
Weitere Infos & Material
About the Author
Preface
Acknowledgements
PART I: DESCRIPTIVE STATISTICS
Chapter 1. Introduction to the use of Statistics in Criminal Justice and Criminology
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 10 Review Problems
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