
Statistical Applications in Criminal Justice
SAGE Publications Inc (Publisher)
1st Edition
Published on 12. July 1989
Book
Hardback
120 pages
978-0-8039-2982-1 (ISBN)
Description
Statistical Applications in Criminal Justice introduces basic statistical concepts in a "cookbook" approach to guide math-scared students to an understanding of the utility and value of statistical analysis. Using examples drawn entirely from law and criminal justice research, the authors provide a user-friendly text for undergraduate and statistically naive graduate students of criminal justice. Vito and Latessa begin with an introduction to simple mathematical notation and proceed into a discussion of the theoretical bases of statistics--with particular attention paid to probability, sampling, and hypothesis testing. Once the student has developed a firm mastery of these basic tools, the authors present some basic statistical techniques commonly used in criminal justice research--t-tests, correlations, simple regression, ANOVA, and measures of association. Sample problems are provided to assist the student step-by-step through the application of these techniques. Uniquely written for criminal justice students, this book would be an appropriate supplement to accompany a longer research methods or statistics text. In addition, professionals who wish to brush up on their skills would find its self-teaching features useful.
More details
Series
Language
English
Place of publication
Thousand Oaks
United States
Target group
Professional and scholarly
Dimensions
Height: 222 mm
Width: 145 mm
Thickness: 11 mm
Weight
297 gr
ISBN-13
978-0-8039-2982-1 (9780803929821)
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Schweitzer Classification
Other editions
Additional editions

Gennaro F. Vito | Edward J. Latessa
Statistical Applications in Criminal Justice
Book
06/1989
1st Edition
SAGE Publications Inc
€117.10
Shipment within 15-20 days
Content
Introduction to Statistics
Basic Descriptive Statistics
Graphic Presentation of Data
Probability and Sampling
Hypothesis Testing
t-Distribution and t-Test
Correlation and Simple Regression
Analysis of Variance
An Introduction
Chi-Square and Measures of Association
Basic Descriptive Statistics
Graphic Presentation of Data
Probability and Sampling
Hypothesis Testing
t-Distribution and t-Test
Correlation and Simple Regression
Analysis of Variance
An Introduction
Chi-Square and Measures of Association