Statistical Analyses for Criminal Justice and Criminology
eBook - ePub

Statistical Analyses for Criminal Justice and Criminology

A Conceptual Introduction

  1. 194 pages
  2. English
  3. ePUB (mobile friendly)
  4. Only available on web
eBook - ePub

Statistical Analyses for Criminal Justice and Criminology

A Conceptual Introduction

Book details
Table of contents
Citations

About This Book

This book is a how-to guide on statistical analyses designed for undergraduates and others new to the subject. It uses a conceptual framework, starting with the most basic concepts of statistics and moving up through the capacity to perform bivariate regression.

Written in an easy-going and clear style, it uses policing data to illustrate concepts. Easily identified Main Take-Aways and Key Terms features aid student understanding. Designed to combat the fear of mathematics and statistics often held by students in the social sciences, plain verbiage, multiple examples, and clear demonstrations combine to achieve the actualization and proper contextualized use of univariate and bivariate statistics. This work also serves as a launching pad for further study in statistics.

As an accessible introduction to statistics in criminal justice and criminology, this text will appeal to both students and instructors in introductory criminal justice and criminology statistics courses.

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Yes, you can access Statistical Analyses for Criminal Justice and Criminology by Michael J. DeValve in PDF and/or ePUB format, as well as other popular books in Matemáticas & Probabilidad y estadística. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Routledge
Year
2024
ISBN
9781040042410

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Acknowledgments
  7. 1 Introduction and Basic Concepts
  8. 2 Presenting Data
  9. 3 Centrality
  10. 4 Variation and Dispersion
  11. 5 Basic Probability and the Normal Curve
  12. 6 The Central Limit Theorem and Sampling
  13. 7 Point Estimates and Confidence Intervals
  14. 8 The Reasoning Behind Hypothesis Testing
  15. 9 Bivariate Hypothesis Testing: t Tests
  16. 10 Bivariate Hypothesis Testing: ANOVA
  17. 11 Bivariate Hypothesis Testing: Measures of Correlation
  18. 12 An Introduction to Bivariate Linear Regression
  19. 13 Nonparametric Tests of Relation and Measures of Association
  20. References
  21. Appendix A: Proportions of the Area under the Curve, Normal (z) Distribution (measured from the mean, 0)
  22. Appendix B: Critical Values of t and Degrees of Freedom
  23. Appendix C: Area under the Curve, F Distribution, p = 0.05 values
  24. Appendix D: Chi-Square Distribution Values
  25. Index