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This is the 3rd edition with a publication date of 1/23/2008.
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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.
Table of Contents
|All chapters end with Summary and Questions and Problems|
|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|
|Organizing the Data|
|Frequency Distributions of Nominal Data|
|Proportions and Percentages|
|Simple Frequency Distributions of Ordinal and Interval Data|
|Grouped Frequency Distributions of Interval Data|
|Dealing with Decimal Data|
|Flexible Class Intervals|
|Measures of Central Tendency|
|Taking One Step at a Time|
|Comparing the Mode, Median, and Mean|
|Measures of Variability|
|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|
|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 Distribution of Means|
|Standard Error of the Mean|
|The t Distribution|
|Looking at the Larger Picture: Generalizing from Samples to Populations|
|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|
|Requirements for Testing the Difference between Means|
|Analysis of Variance|
|The Logic of Analysis of Variance|
|The Sum of Squares|
|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|
|Strength of Correlation|
|Direction of Correlation|
|The Correlation Coefficient|
|Pearson's Correlation Coefficient|
|The Importance of Scatter Plots|
|Table of Contents provided by Publisher. All Rights Reserved.|