Criminal justice statistics: a practical approach
Focuses upon the basic statistical problems criminal justice practitioners are likely to encounter. The book presents statistics as a set of tools or procedures for addressing specific data analysis problems rather than formal, somewhat abstract subject. This text is designed for criminal justice students, many of whom will be required to produce statistical reports at the administrative or supervisory level. Criminal Justice Statistics: A Practical Approach provides a clear and simple understanding of what is often perceived as a very difficult topic.
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Community Corrections: Probation, Parole, and Intermediate Sanctions
No preview available - 1998
The Language of Statistics 3
Measures of Central Tendency
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absolute frequencies analysis ANOVA auto theft bivariate burglary cadets calculate Cancel Help cell central tendency chapter class interval Click coefficient of determination compute contingency table covariance crime rate criminal justice Crosstabs Data Editor data set defendants degrees of freedom dialog box displayed equals Equation examination scores example Exercises Exercise Answer expected frequencies Figure formula frequency distribution graph hypothesis testing independent variables index crimes inmates juvenile Level of significance linear regression measures of central median mode months employed multiple regression normal distribution null hypothesis offenders pairs Pearson percent police officers population prediction predictor variable prison probation probationers procedure psychopathy scores raw score reject relationship relative frequency robbery rule violations sample means sampling distribution scatterplot sentencing severity shows skewed SPSS SPSS for Windows standard deviation standard error statistically significant summary techniques test scores therapeutic methods tion Type I error variance x2 value zero