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Statistics in criminal justice

Author: David Weisburd; Chester L Britt
Publisher: College Park, MD : Springer, ©2007.
Edition/Format:   eBook : Document : English : 3rd ed.View all editions and formats
Database:WorldCat
Summary:

The updated and expanded 3rd edition of Statistics in Criminal Justice introduces basic statistics and statistical concepts, tailored to the real world of crime and justice, with each chapter  Read more...

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Genre/Form: Electronic books
Additional Physical Format: Print version:
Weisburd, David.
Statistics in criminal justice.
College Park, MD : Springer, ©2007
(DLC) 2006940352
(OCoLC)123417661
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: David Weisburd; Chester L Britt
ISBN: 9780387341132 0387341137 9780387341125 0387341129
OCLC Number: 209925024
Description: 1 online resource (xv, 674 pages) : illustrations
Contents: Introduction: Statistics as a Research Tool.- Measurement: The Basic Building Block of Research.- Representing and Displaying Data.- Describing the Typical Case: Measures of Central Tendency.- How Typical Is the Typical Case?: Measuring Dispersion.- The Logic of Statistical Inference: Making Statements About Populations from Sample Statistics.- Defining the Observed Significance Level of a Test: A Simple Example Using the Binomial Distribution.- Steps in a Statistical Test: Using the Binomial Distribution to Make Decisions About Hypotheses.- Chi-Square: A Test Commonly Used for Nominal-Level Measures.- The Normal Distribution and Its Application to Tests of Statistical Significance.- Comparing Means and Proportions in Two Samples.- Comparing Means Among More Than Two Samples: Analysis of Variance.- Measures of Association for Nominal and Ordinal Variables.- Measuring Association for Interval-Level Data: Pearson's Correlation Coefficient.- An Introduction to Bivariate Regression.- Multivariate Regression.- Multivariate Regression: Additional Topics.- Logistic Regression.- Multivariate Regression with Multiple Category Nominal or Ordinal Measures: Extending the Basic Logistic Regression Model.- Special Topics: Confidence Intervals.- Special Topics: Statistical Power.

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