Grundlagen der Statistik für Kriminologie und Strafjustiz, Bachman, Ronet D.
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Grundlagen der Statistik für Kriminologie und Strafjustiz, Bachman, Ronet D.
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eBay-Artikelnr.:235933015174
Artikelmerkmale
- Artikelzustand
- Book Title
- Essentials of Statistics for Criminology and Criminal Justice
- ISBN
- 9781506365473
Über dieses Produkt
Product Identifiers
Publisher
SAGE Publications, Incorporated
ISBN-10
1506365477
ISBN-13
9781506365473
eBay Product ID (ePID)
228989734
Product Key Features
Number of Pages
424 Pages
Language
English
Publication Name
Essentials of Statistics for Criminology and Criminal Justice
Publication Year
2017
Subject
General, Criminology
Type
Not Available
Subject Area
Law, Reference, Social Science
Format
Book, Other
Dimensions
Item Height
0.6 in
Item Weight
27.1 Oz
Item Length
10 in
Item Width
8 in
Additional Product Features
LCCN
2017-009005
Table Of Content
Chapter 1. Setting the Stage: Why Learning This Stuff is Important!Setting the Stage for Statistical InquiryThe Role of Statistical Methods in Criminology and Criminal JusticePopulations and SamplesDescriptive and Inferential StatisticsLevels of MeasurementWays of Presenting VariableUnits of AnalysisChapter 2. Understanding Data Distributions With Tables and GraphsThe Tabular and Graphical Display of Qualitative DataThe Tabular and Graphical Display of Quantitative DataThe Shape of a DistributionTime PlotsChapter 3. Measures of Central TendencyThe ModeThe MedianThe MeanChapter 4. Measures of DispersionMeasuring Dispersion for Nominal- and Ordinal-Level VariablesMeasuring Dispersion for Internal- and Ratio-Level VariablesThe Standard Deviation and VarianceComputational Formulas for Variance and Standard DeviationChapter 5. Moving Beyond Description: Introducing Inferential Statistics: Probability Distributions and an Introduction to Hypothesis TestingProbability. What Is It Good for? Absolutely Everything!The Rules of ProbabilityProbability DistributionsSamples, Populations, Sampling Distributions, and the Central Limit TheoremChapter 6. Point Estimation and Confidence IntervalsMaking Inferences from Point Estimates: Confidence IntervalsEstimating a Population Mean From Large SamplesEstimating Confidence Intervals for a Mean From Small SamplesEstimating Confidence Intervals for Proportions and Percents With a Large SampleChapter 7. Hypothesis Testing for One Population Mean and ProportionHypothesis Testing for Population Means Using A Large Sample: The Z TestDirectional and Non-directional Hypothesis TestsHypothesis Testing for Population Means Using Small Samples: The t TestHypothesis Testing for Population Proportions and Percents Using Large SamplesChapter 8.Testing Hypotheses With Two Categorical VariablesContingency Tables and the Two Variable Chi-Square Test of IndependenceThe Chi-Square Test of IndependenceA Simple-to-Use Computational Formula for the Chi-Square Test of IndependenceMeasures of Association: Determining the Strength of the Relationship Between Two Categorical VariablesChapter 9. Hypothesis Tests Involving Two Population Means or ProportionsExplaining the Difference Between Two Sample MeansSampling Distribution of Mean DifferencesTesting a Hypothesis About the Difference Between Two Means: Independent SamplesMatched-Groups or Dependent-Samples t TestHypothesis Tests for the Difference Between Two Proportions: Large SamplesChapter 10. Hypothesis Testing Involving Three or More Population Means: Analysis of VarianceThe Logic of Analysis of VarianceTypes of Variance: Total, Between-Groups, and Within-GroupConducting a Hypothesis Test With ANOVAAfter the F Test: Testing the Difference Between Pairs of MeansA Measure of Association Test With ANOVAA Second ANOVA Example: Caseload Size and Success on ProbationChapter 11. Bivariate Correlation and Ordinary Least Squares (OLS) RegressionGraphing the Bivariate Distribution Between Two Quantitative Variables: ScatterplotsThe Pearson Correlation CoefficientA More Precise Way to Interpret a Correlation: The Coefficient of DeterminationThe Least-Squares Regression Line and the Slope CoefficientComparison of b and rTesting for the Significance of b and rChapter 12. Controlling for a Third Variable: Multiple OLS RegressionWhat Do We Mean by Controlling for Other Important Variables?The Multiple Regression EquationComparing the Strength of a Relationship Using Beta WeightsPartial Correlation CoefficientsHypothesis Testing in Multiple RegressionAnother Example: Prison Density, Mean Age, and Rate of Inmate ViolenceAppendix A. Review of Basic Mathematical OperationsAppendix B. Statistical TablesAppendix C. Solutions for Odd-Numbered Practice ProblemsAppendix D. SPSS Exercises
Intended Audience
College Audience
Synopsis
Helps students understand the vital role that research and statistics play in the study of criminology and criminal justice by showing them how to conduct and interpret statistics in real-world settings with a step-by-step approach to solving problems., Essentials of Statistics for Criminology and Criminal Justicehelps students understand the vital role that research and statistics play in the study of criminology and criminal justice by showing them how to conduct and interpret statistics in real-world settings with a step-by-step approach to solving problems. This practical, applied approach offers students the fundamentals of descriptive and inferential statistics in a concise and easy-to-understand format--avoiding complicated proofs and discussions of statistical theory. The examples and case studies provide relevant examples for criminology and criminal justice students, and deal with contemporary issues related to crime, corrections, police, and the judicial system. Students will not only learn about the "how to" in statistics, but they will also recognize its importance in today's criminal justice system., Essentials of Statistics for Criminology and Criminal Justice helps students understand the vital role that research and statistics play in the study of criminology and criminal justice by showing them how to conduct and interpret statistics in real-world settings with a step-by-step approach to solving problems. This practical, applied approach offers students the fundamentals of descriptive and inferential statistics in a concise and easy-to-understand format--avoiding complicated proofs and discussions of statistical theory. The examples and case studies provide relevant examples for criminology and criminal justice students, and deal with contemporary issues related to crime, corrections, police, and the judicial system. Students will not only learn about the "how to" in statistics, but they will also recognize its importance in today's criminal justice system.
LC Classification Number
HV6208.P38 2017
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