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by James Alan Fox, Jack Levin and David R. Forde

Edition: 3RD 08Copyright: 2008

Publisher: Allyn & Bacon, Inc.

Published: 2008

International: No

James Alan Fox, Jack Levin and David R. Forde

Edition: 3RD 08
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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.

All chapters end with Summary and Questions and Problems. Preface.

1. 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.

I. DESCRIPTION.

2. 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.

3. Measures of Central Tendency. The Mode. The Median. The Mean. Taking One Step at a Time. Comparing the Mode, Median, and Mean.

4. 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.

II. FROM DESCRIPTION TO DECISION MAKING.

5. 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.

6. 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.

III. DECISION MAKING.

7. Testing Differences between Means. The Null Hypothesis: No Difference between Means.

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Summary

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. Preface.

1. 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.

I. DESCRIPTION.

2. 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.

3. Measures of Central Tendency. The Mode. The Median. The Mean. Taking One Step at a Time. Comparing the Mode, Median, and Mean.

4. 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.

II. FROM DESCRIPTION TO DECISION MAKING.

5. 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.

6. 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.

III. DECISION MAKING.

7. Testing Differences between Means. The Null Hypothesis: No Difference between Means.

Publisher Info

Publisher: Allyn & Bacon, Inc.

Published: 2008

International: No

Published: 2008

International: No

All chapters end with Summary and Questions and Problems. Preface.

1. 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.

I. DESCRIPTION.

2. 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.

3. Measures of Central Tendency. The Mode. The Median. The Mean. Taking One Step at a Time. Comparing the Mode, Median, and Mean.

4. 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.

II. FROM DESCRIPTION TO DECISION MAKING.

5. 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.

6. 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.

III. DECISION MAKING.

7. Testing Differences between Means. The Null Hypothesis: No Difference between Means.