Using statistics in criminal justice
Preface -- Acknowledgments -- Tools of the trade -- Uses of statistics in criminology, criminal justice, and legal research -- Context and role of statistics in criminal justice research -- Sketching it out -- Finding and categorizing data -- Measures of central tendency -- Measures of variation --...
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Format: | Print Book |
Language: | English |
Published: |
New York
Wolters Kluwer
[2016]
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In: | Year: 2016 |
Online Access: |
Inhaltsverzeichnis (Verlag) Klappentext (Verlag) |
Availability in Tübingen: | Present in Tübingen. UB: KB 20 A 8053 |
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245 | 1 | 0 | |a Using statistics in criminal justice |c Rebecca K. Murray, Associate Professor and Chair, Department of Cultural and Social Studies, Creighton University |
264 | 1 | |a New York |b Wolters Kluwer |c [2016] | |
300 | |a xxiii, 315 Seiten |b Diagramme | ||
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505 | 8 | 0 | |t Uses of statistics in criminology, criminal justice, and legal research |
505 | 8 | 0 | |t Context and role of statistics in criminal justice research |
505 | 8 | 0 | |t Sketching it out |
505 | 8 | 0 | |t Finding and categorizing data |
505 | 8 | 0 | |t Measures of central tendency |
505 | 8 | 0 | |t Measures of variation |
505 | 8 | 0 | |t Color it in |
505 | 8 | 0 | |t The normal curve and standard scores |
505 | 8 | 0 | |t Samples and hypothesis testing |
505 | 8 | 0 | |t Differences between means: two samples |
505 | 8 | 0 | |t Differences between means: three or more samples |
505 | 8 | 0 | |t Non-parametric methods of comparison for nominal data |
505 | 8 | 0 | |t Non-parametric methods of comparison for ordinal and interval-ratio data |
505 | 8 | 0 | |t Detail work |
505 | 8 | 0 | |t Correlation |
505 | 8 | 0 | |t Regression |
505 | 8 | 0 | |t Statistics and evaluation research |
520 | |a Preface -- Acknowledgments -- Tools of the trade -- Uses of statistics in criminology, criminal justice, and legal research -- Context and role of statistics in criminal justice research -- Sketching it out -- Finding and categorizing data -- Measures of central tendency -- Measures of variation -- Color it in -- The normal curve and standard scores -- Samples and hypothesis testing -- Differences between means: two samples -- Differences between means: three or more samples -- Non-parametric methods of comparison for nominal data -- Non-parametric methods of comparison for ordinal and interval-ratio data -- Detail work -- Correlation -- Regression -- Statistics and evaluation research -- Appendix A: Area under the normal curve / Critical Values of z -- Appendix b: critical values of student?s t -- Appendix C: Critical values of F -- Appendix D: Distribution of q scores -- Appendix E: Critical values of pearson's chi-squared (also used for Kuskal-Wallis H) -- Appendix F: Critical values of Mann-Whitney U -- Appendix G: critical values of spearman's RHO -- Appendix H: Critical values of pearson's R -- Appendix I: answers to end of chapter exercises -- Glossary -- Index | ||
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