SIMPLE STATISTICS: APPLICATIONS IN CRIMINOLOGY AND By Terance D. Miethe *VG+*

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“Book is in Very Good Condition.  Text will be unmarked.  May show some signs of use or wear. Will ...
ISBN-10
0195330714
Book Title
Simple Statistics: Applications in Criminology and Criminal
ISBN
9780195330717
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Product Identifiers

Publisher
Oxford University Press, Incorporated
ISBN-10
0195330714
ISBN-13
9780195330717
eBay Product ID (ePID)
59628476

Product Key Features

Number of Pages
336 Pages
Language
English
Publication Name
Simple Statistics : Applications in Criminology and Criminal Justice
Subject
General, Statistics, Criminology
Publication Year
2006
Type
Textbook
Author
Terance D. Miethe
Subject Area
Law, Social Science
Format
Trade Paperback

Dimensions

Item Height
0.7 in
Item Weight
19.8 Oz
Item Length
6.9 in
Item Width
9.1 in

Additional Product Features

Intended Audience
College Audience
Dewey Edition
22
Reviews
"What makes Simple Statistics distinctive is its remarkable balance between extremely technical statistics texts that are not written in a student-friendly fashion and oversimplified texts. Miethe writes in an exceptionally readable style, challenging students without intimidating them. Another key strength is the book's use of actual crime data, demonstrating the real-world applications of major statistical concepts."--Kent Kerley, University of Alabama, Birmingham"Throughout this book, the author explains the relevance of statistical techniques--not just the mechanics. The conversational style is engaging, encouraging students to keep reading and realize that they can master statistics. The book distinguishes itself from other texts by paring down what students are expected to learn."--Wayne J. Pitts, University of Memphis, "What makes Simple Statistics distinctive is its remarkable balance between extremely technical statistics texts that are not written in a student-friendly fashion and oversimplified texts. Miethe writes in an exceptionally readable style, challenging students without intimidating them.Another key strength is the book's use of actual crime data, demonstrating the real-world applications of major statistical concepts."--Kent Kerley, University of Alabama, Birmingham, "What makesSimple Statisticsdistinctive is its remarkable balance between extremely technical statistics texts that are not written in a student-friendly fashion and oversimplified texts. Miethe writes in an exceptionally readable style, challenging students without intimidating them. Another key strength is the book's use of actual crime data, demonstrating the real-world applications of major statistical concepts."--Kent Kerley,University of Alabama, Birmingham "Throughout this book, the author explains the relevance of statistical techniques--not just the mechanics. The conversational style is engaging, encouraging students to keep reading and realize that they can master statistics. The book distinguishes itself from other texts by paring down what students are expected to learn."--Wayne J. Pitts,University of Memphis, "Throughout this book, the author explains the relevance of statistical techniques--not just the mechanics. The conversational style is engaging, encouraging students to keep reading and realize that they can master statistics. The book distinguishes itself from other texts by paring down whatstudents are expected to learn."--Wayne J. Pitts, University of Memphis, "What makes Simple Statistics distinctive is its remarkable balance between extremely technical statistics texts that are not written in a student-friendly fashion and oversimplified texts. Miethe writes in an exceptionally readable style, challenging students without intimidating them. Another key strength is the book's use of actual crime data, demonstrating the real-world applications of major statistical concepts."--Kent Kerley, University of Alabama, Birmingham "Throughout this book, the author explains the relevance of statistical techniques--not just the mechanics. The conversational style is engaging, encouraging students to keep reading and realize that they can master statistics. The book distinguishes itself from other texts by paring down what students are expected to learn."--Wayne J. Pitts, University of Memphis
Illustrated
Yes
Dewey Decimal
519.5024/364
Table Of Content
Chapter 1: Introduction to Statistical ThinkingSome Definitions and Basic IdeasMath Phobia, Panic, and Terror in Social StatisticsThe Practical Value of Social Statistics and Statistical ReasoningTypes of Statistical MethodsPedagogical (Teaching) ApproachesChapter 2: Garbage In, Garbage Out (GIGO)Measurement InvaliditySampling ProblemsFaulty Causal InferencesPolitical InfluencesHuman FallibilityChapter 3: Issues in Data PreparationWhy Is Data Preparation Important?Operationalization and MeasurementCoding and Inputting Statistical DataAvailable Computer Software for Basic Data AnalysisChapter 4: Displaying Data in Tables and Graphic FormsThe Importance of Data Tables and GraphsTypes of Tabular and Visual PresentationsHazards and Distortions in Visual Displays and Collapsing CategoriesChapter 5: Modes, Medians, Means, and MoreModes and Modal CategoriesThe Median and Other Measures of LocationThe Mean and Its MeaningChoice of Measure of Central Tendency and PositionChapter 6: Measures of Variation and DispersionThe Range of ScoresThe Variance and Standard DeviationPopulation Versus Sample Variances and Standard DeviationsChapter 7: The Normal Curve and Sampling DistributionsThe Normal CurveZ-Scores as Standard ScoresReading a Normal Curve TableOther Sampling DistributionsChapter 8: Parameter Estimation and Confidence IntervalsSampling Distributions and the Logic of Parameter EstimationInferences from Sampling Distributions to One Real SampleConfidence Intervals: Large Samples, ? KnownConfidence Intervals: Small Samples and Unknown ?Chapter 9: Introduction to Hypothesis TestingConfidence Intervals Versus Hypothesis TestingBasic Terminology and SymbolsChapter 10: Hypothesis Testing for Means and ProportionsTypes of Hypothesis TestingIssues in Testing Statistical HypothesesChapter 11: Statistical Association in Contingency TablesThe Importance of Statistical Association and Contingency TablesThe Structure of a Contingency TableDeveloping Tables of Total, Row, and Column PercentagesThe Rules for Interpreting a Contingency TableSpecifying Causal Relations in Contingency TablesAssessing the Magnitude of Bivariate Associations in Contingency TablesIssues in Contingency Table AnalysisChapter 12: The Analysis of Variance (ANOVA)Overview of ANOVA and When It Is UsedPartitioning Variation into Between- and Within- Group DifferencesHypothesis Testing and Measures of Association in ANOVAIssues in the Analysis of VarianceChapter 13: Correlation and RegressionThe Scatterplot of Two Interval or Ratio VariablesThe Correlation Coefficient Regression AnalysisIssues in Bivariate Regression and Correlation AnalysisChapter 14: Introduction to Multivariate AnalysisWhy Do Multivariate Analysis?Types of Multivariate Analysis
Synopsis
Simple Statistics provides a concise and compelling introduction to basic statistics for students of criminology and criminal justice. Written in a conversational tone, it does not "dumb down" the material; instead, it demonstrates the value of statistical thinking and reasoning in context. The text covers essential techniques instead of attempting to provide an encyclopedic sweep of all statistical procedures. Author Terance D. Miethe illustrates how verbal statements and other types of information are converted into statistical codes, measures, and variables. While most statistics texts emphasize how to do statistical procedures, they often neglect to explain why we do them. This unique book covers both areas, and the problems at the end of each chapter focus on applications, offering even more context for "why we do" these procedures., Simple Statistics: Applications in Criminology and Criminal Justice provides a concise and compelling introduction to basic statistics for students of criminology and criminal justice. Written in a conversational tone, it does not "dumb down" the material; rather, it demonstrates the value of statistical thinking and reasoning in context. The text covers essential techniques instead of attempting to provide an encyclopedic sweep of all statistical procedures. Author Terance D. Miethe shows how verbal statements and other types of information are converted into statistical codes, measures, and variables. Many texts don't cover this process of operationalization and measurement, so most students have no idea how research methods and statistics are related or how to conduct statistical analysis from the bottom up. While most statistics texts emphasize how to do statistical procedures and neglect why we do them, this unique book covers both areas. The problems at the end of each chapter focus on applications, offering more context for "why we do" these procedures. The term informed consumer is frequently used to convey the importance of understanding social statistics for becoming a better student, employee, and citizen. Simple Statistics uses hand computation methods to demonstrate how to apply the various statistical procedures. Most chapters also contain an optional section on how to do these procedures in SPSS and/or Microsoft Excel spreadsheets, but such applications are not necessary for understanding the statistical methods described in this book. Several examples--but not an overwhelming amount--are used to illustrate each statistical procedure. Specific problems, detailed summaries, key terms, and major formulas are provided at the end of each chapter to further highlight major points. A comprehensive Instructor's Manual is also available., Simple Statistics provides a concise and compelling introduction to basic statistics for students of criminology and criminal justice. Written in a conversational tone, it does not "dumb down" the material; instead, it demonstrates the value of statistical thinking and reasoning in context. The text covers essential techniques instead of attempting to provide an encyclopedic sweep of all statistical procedures. Author Terance D. Miethe illustrates how verbal statements and other types of information are converted into statistical codes, measures, and variables. While most statistics texts emphasize how to do statistical procedures, they often neglect to explain why we do them. This unique book covers both areas, and the problems at the end of each chapter focus on applications, offering even more context for "why we do" these procedures. Simple Statistics uses hand computation methods to demonstrate how to apply the various statistical procedures, and most chapters include an optional section on how to do these procedures in SPSS and/or Microsoft Excel spreadsheets. Helpful examples illustrate each statistical procedure, and specific problems, detailed summaries, key terms, and major formulas are provided at the end of each chapter to further highlight major points. A comprehensive Instructor's Manual is also available.

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