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Elementary Statistics in Criminal Justice Research,9780321024633
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Elementary Statistics in Criminal Justice Research

by Jack Levin; James A. Fox
ISBN13:

9780321024633

ISBN10:
032102463X
Format:
Hardcover
Pub. Date:
11/1/1998
Publisher(s):
Pearson College Div
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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

PREFACE XII
CHAPTER 1 WHY THE CRIMINAL JUSTICE RESEARCHER USES STATISTICS
1(20)
The Nature of Criminal Justice Research
1(4)
Major Data Sources in Criminology and Criminal Justice
5(2)
Why Test Hypotheses?
7(1)
The Stages of Criminal Justice Research
8(1)
Using Series of Numbers to Do Criminal Justice Research
8(4)
Functions of Statistics
12(5)
Summary
17(1)
Terms to Remember
17(1)
Problems
18(3)
PART ONE DESCRIPTION 21(90)
CHAPTER 2 ORGANIZING THE DATA
23(46)
Frequency Distributions of Nominal Data
23(1)
Comparing Distributions
24(1)
Proportions and Percentages
25(1)
Ratios and Rates
26(2)
Simple Frequency Distributions of Ordinal and Interval Data
28(1)
Grouped Frequency Distributions of Interval Data
29(4)
Cumulative Distributions
33(2)
Percentile Ranks
35(6)
Dealing with Decimal Data
41(1)
Flexible Class Intervals
42(2)
Cross-Tabulations
44(6)
Graphic Presentations
50(14)
Summary
64(1)
Terms to Remember
64(1)
Problems
65(4)
CHAPTER 3 MEASURES OF CENTRAL TENDENCY
69(19)
The Mode
69(1)
The Median
70(1)
The Mean
71(2)
Taking One Step at a Time
73(1)
Comparing the Mode, Median, and Mean
74(4)
Obtaining the Mode, Median, and Mean from a Simple Frequency Distribution
78(2)
Obtaining the Mode, Median, and Mean from a Grouped Frequency Distribution
80(3)
Summary
83(1)
Terms to Remember
84(1)
Step-By-Step Study Guide: Mode, Median, and Mean for Raw Scores
84(1)
Problems
85(3)
CHAPTER 4 MEASURES OF VARIABILITY
88(23)
The Range
89(1)
The Mean Deviation
90(2)
The Variance and Standard Deviation
92(4)
The Raw-Score Formula for Variance and Standard Deviation
96(1)
The Meaning of the Standard Deviation
97(3)
Comparing Measures of Variability
100(1)
Obtaining the Variance and Standard Deviation from a Simple Frequency Distribution
101(3)
Obtaining the Variance and Standard Deviation from a Grouped Frequency Distribution
104(2)
Summary
106(1)
Terms to Remember
107(1)
Step-By-Step Study Guide: Variance and Standard Deviation for Raw Scores
107(1)
Problems
107(4)
PART TWO FROM DESCRIPTION TO DECISION MAKING 111(68)
CHAPTER 5 PROBABILITY AND THE NORMAL CURVE
113(32)
Rules of Probability
114(3)
Probability Distributions
117(4)
The Normal Curve as a Probability Distribution
121(1)
Characteristics of the Normal Curve
121(1)
The Model and the Reality of the Normal Curve
122(2)
The Area Under the Normal Curve
124(5)
Standard Scores and the Normal Curve
129(4)
Finding Probability Under the Normal Curve
133(4)
Obtaining Percentile Ranks from the Normal Curve
137(3)
Summary
140(1)
Terms to Remember
140(1)
Step-By-Step Study Guide: Probability Under the Normal Curve
141(1)
Step-By-Step Study Guide: Percentile Ranks from the Normal Curve
141(1)
Problems
141(4)
CHAPTER 6 SAMPLES AND POPULATIONS
145(34)
Sampling Methods
146(4)
Sampling Error
150(1)
Sampling Distribution of Means
151(7)
Standard Error of the Mean
158(1)
Confidence Intervals
159(6)
The t Distribution
165(6)
Estimating Proportions
171(3)
Summary
174(1)
Terms to Remember
174(1)
Step-By-Step Study Guide: Confidence Interval for the Mean Using z
174(1)
Step-By-Step Study Guide: Confidence Interval for the Mean Using t
175(1)
Step-By-Step Study Guide: Confidence Interval for the Proportion
176(1)
Problems
176(3)
PART THREE DECISION MAKING 179(206)
CHAPTER 7 TESTING DIFFERENCES BETWEEN MEANS
181(41)
The Null Hypothesis: No Difference between Means
183(1)
The Research Hypothesis: A Difference between Means
183(1)
Sampling Distribution of Differences between Means
184(4)
Testing Hypotheses with the Distribution of Differences between Means
188(3)
Levels of Significance
191(5)
Standard Error of the Difference between Means
196(1)
Testing the Difference between Means
197(4)
Comparing the Same Sample Measured Twice
201(3)
Two Sample Tests of Proportions
204(3)
One-Tailed Tests
207(6)
Requirements for Testing the Difference between Means
213(1)
Summary
214(1)
Terms to Remember
215(1)
Step-By-Step Study Guide: Test of Differences between Means for Independent Groups
215(1)
Step-By-Step Study Guide: Test of Differences between Means for the Same Sample Measured Twice
216(1)
Step-By-Step Study Guide: Test of Differences between Proportions
216(1)
Problems
217(5)
CHAPTER 8 ANALYSIS OF VARIANCE
222(23)
The Logic of Analysis of Variance
223(2)
The Sum of Squares
225(6)
Mean Square
231(2)
The F Ratio
233(5)
A Multiple Comparison of Means
238(2)
Requirements for Using the F Ratio
240(1)
Summary
241(1)
Terms to Remember
241(1)
Step-By-Step Study Guide: Test of Differences between Means for Several Independent Groups Using Analysis of Variance
242(1)
Problems
243(2)
CHAPTER 9 NONPARAMETRIC TESTS OF SIGNIFICANCE
245(39)
One-Way Chi-Square Test
246(4)
Two-Way Chi-Square Test
250(19)
The Median Test
269(3)
The Mann-Whitney U Test
272(3)
Kruskal-Wallis One-Way Analysis of Variance by Ranks
275(3)
Summary
278(1)
Terms to Remember
278(1)
Step-By-Step Study Guide: Test of Differences between Groups for Nominal-Level Data Using Chi-Square
278(1)
Step-By-Step Study Guide: Test of Differences between Groups for Ordinal-Level Data Using the Mann-Whitney U Test
279(1)
Step-By-Step Study Guide: Test of Differences between Several Groups for Ordinal-Level Data Using the Kruskal-Wallis Test
280(1)
Problems
280(4)
CHAPTER 10 CORRELATION
284(24)
Strength of Correlation
284(1)
Direction of Correlation
285(1)
Curvilinear Correlation
286(1)
The Correlation Coefficient
286(2)
Pearson's Correlation Coefficient
288(8)
The Importance of Scatter Plots
296(2)
Partial Correlation
298(6)
Summary
304(1)
Terms to Remember
304(1)
Step-By-Step Study Guide: Testing the Strength of Association between Interval-Level Variables Using Pearson's Correlation
304(1)
Problems
305(3)
CHAPTER 11 REGRESSION ANALYSIS
308(24)
The Regression Model
309(5)
Interpreting the Regression Line
314(2)
Prediction Errors
316(3)
Regression and Pearson's Correlation
319(1)
Regression and Analysis of Variance
320(5)
Multiple Regression
325(3)
Summary
328(1)
Terms to Remember
328(1)
Step-By-Step Study Guide: Testing the Effect of an Independent Variable on a Dependent Variable Using Regression Analysis
328(2)
Problems
330(2)
CHAPTER 12 NONPARAMETRIC MEASURES OF CORRELATION
332(29)
Spearman's Rank-Order Correlation Coefficient
332(7)
Goodman's and Kruskal's Gamma
339(5)
Correlation Coefficient for Nominal Data Arranged in a 2 X 2 Table
344(2)
Correlation Coefficients for Nominal Data in Larger than 2 X 2 Tables
346(3)
Lambda
349(3)
Elaboration
352(4)
Summary
356(1)
Terms to Remember
357(1)
Step-By-Step Study Guide: Testing the Strength of Association between Ordinal-Level Variables Using Spearman's Rank-Order Correlation
357(1)
Step-By-Step Study Guide: Testing the Strength of Association between Cross-Tabulated, Ordinal-Level Variables Using Goodman's and Kruskal's Gamma
357(1)
Problems
358(3)
CHAPTER 13 APPLYING STATISTICAL PROCEDURES TO RESEARCH PROBLEMS
361(24)
Research Situations
363(13)
Research Solutions
376(9)
APPENDIXES 385(33)
APPENDIX A: CRIME AND CRIMINAL JUSTICE INTERNET SITES 387(4)
APPENDIX B: A REVIEW OF SOME FUNDAMENTALS OF MATHEMATICS 391(5)
APPENDIX C: TABLES 396(16)
APPENDIX D: LIST OF FORMULAS 412(6)
GLOSSARY 418(7)
ANSWERS TO PROBLEMS 425(6)
INDEX 431


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