Elementary Statistics in Criminal Justice Research

ISBN-10: 0205594395
ISBN-13: 9780205594399
Edition: 3rd 2009
List price: $132.80
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Description: The best-selling book, Elementary Statistics in Social Research, 7/e, has been adapted to provide a broad and accessible introduction to statistics for criminal justice enthusiasts.This straightforward book written specifically for criminal justice  More...

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Book details

List price: $132.80
Edition: 3rd
Copyright year: 2009
Publisher: Allyn & Bacon, Incorporated
Publication date: 1/23/2008
Binding: Paperback
Pages: 432
Size: 7.50" wide x 9.00" long x 0.75" tall
Weight: 1.672
Language: English

The best-selling book, Elementary Statistics in Social Research, 7/e, has been adapted to provide a broad and accessible introduction to statistics for criminal justice enthusiasts.This straightforward book written specifically for criminal justice helps readers who do not have a strong background in mathematics, make sense of statistics.For anyone interested in statistics related to criminal justice.

James Alan Fox is the Lipman Family Professor of Criminology, Law, and Public Policy at Northeastern University. He has written 18 books, including his newest, Violence and Security on Campus: From Preschool Through College. He has published dozens of journal and magazine articles, as well as hundreds of freelance columns in newspapers around the country, primarily in the areas of multiple murder, youth crime, school and campus violence, workplace violence, and capital punishment. He also writes an online column for the Boston Globe?s website. Fox often gives keynote talks and testimony before Congress and in court. He has briefed various leaders here and abroad, including President Clinton, Attorney General Reno, and Princess Anne of Great Britain. He has worked on criminal investigations surrounding serial and mass murder cases and served as a visiting fellow with the Bureau of Justice Statistics focusing on homicide patterns and trends. Finally, Fox was honored in 2007 by the Massachusetts Committee against the Death Penalty with the Hugo Adam Bedau Award for excellence in capital punishment scholarship and by Northeastern University with the 2008 Klein Lectureship.

Jack Levin is the Irving and Betty Brudnick Professor of Sociology and Criminology at Northeastern University, where he co-directs its Center on Violence and Conflict and teaches courses in the sociology of violence and hate. He has authored or co-authored 30 books, most recently Serial Killers and Sadistic Murderers-Up Close and Personal and The Violence of Hate. Levin has also published more than 100 articles in professional journals and books and more than 150 columns in major newspapers, such as The New York Times, The Sunday London Times, The Chicago Tribune, The Washington Post, and USA Today. In 2009, he received a major award from the American Sociological Association for his contributions to the public understanding of sociology. Also in 2009, he received the Apple Award from the New England Sociological Association for his contributions to teaching. Levin has spoken to a wide variety of community, academic, and professional groups, including the White House Conference on Hate Crimes, the National Organization of Hostage Negotiators, and the International Association of Chiefs of Police.

All chapters end with Summary and Questions and Problems
Preface
Why the Criminal Justice Researcher Uses Statistics
The Nature of Criminal Justice Research
Major Data Sources in Criminology and Criminal Justice
Why Test Hypotheses?
The Stages of Criminal Justice Research
Using Series of Numbers to Do Criminal Justice Research
Functions of Statistics
Looking and the Larger Picture: A Student Survey
Description
Organizing the Data
Frequency Distributions of Nominal Data
Comparing Distributions
Proportions and Percentages
Rates
Simple Frequency Distributions of Ordinal and Interval Data
Grouped Frequency Distributions of Interval Data
Cumulative Distributions
Percentile Ranks
Dealing with Decimal Data
Flexible Class Intervals
Cross-Tabulations
Graphic Presentations
Measures of Central Tendency
The Mode
The Median
The Mean
Taking One Step at a Time
Comparing the Mode, Median, and Mean
Measures of Variability
The Range
The Variance and Standard Deviation
The Raw-Score Formula for Variance and Standard Deviation
The Meaning of the Standard Deviation
Obtaining the Variance and Standard Deviation from a Simple Frequency Distribution
Obtaining the Variance and Standard Deviation from a Grouped Frequency Distribution
From Description to Decision Making
Probability and the Normal Curve
Rules of Probability
Probability Distributions
The Normal Curve as a Probability Distribution
Characteristics of the Normal Curve
The Model and the Reality of the Normal Curve
The Area Under the Normal Curve
Standard Scores and the Normal Curve
Finding Probability Under the Normal Curve
Finding Scores from Probability from the Normal Curve
Samples and Populations
Sampling Methods
Sampling Error
Sampling Distribution of Means
Standard Error of the Mean
Confidence Intervals
The t Distribution
Estimating Proportions
Looking at the Larger Picture: Generalizing from Samples to Populations
Decision Making
Testing Differences between Means
The Null Hypothesis: No Difference between Means
The Research Hypothesis: A Difference between Means
Sampling Distribution of Differences between Means
Testing Hypotheses with the Distribution of Differences between Means
Levels of Significance
Standard Error of the Difference between Means
Testing the Difference between Means
Comparing the Dependent Samples
Two Sample Tests of Proportions
One-Tailed Tests
Requirements for Testing the Difference between Means
Analysis of Variance
The Logic of Analysis of Variance
The Sum of Squares
Mean Square
The F Ratio
A Multiple Comparison of Means
Requirements for Using the F Ratio
Groups Using Analysis of Variance
Nonparametric Tests of Significance
One-Way Chi-Square Test
Two-Way Chi-Square Test
The Median Test
Looking at the Larger Picture: Testing for Differences
From Decision Making to Association
Correlation
Strength of Correlation
Direction of Correlation
Curvilinear Correlation
The Correlation Coefficient
Pearson's Correlation Coefficient
The Importance of Scatter Plots
Partial Correlation
Regression Ana

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