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Statistical Concepts for Criminal Justice and Criminology

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ISBN-10: 0135130468

ISBN-13: 9780135130469

Edition: 2009

Authors: Frank P. Williams, Frank P. Williams

List price: $51.60
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Description:

This book is concept-based and focuses on the building blocks of statistical ideas. Covering the essential techniques-univariate tools, Chi-square,t-test, analysis of variance, and Pearsonrsquo;sr-in a simple conversational style, the text explains the concepts behind each technique and how results are interpreted. Its emphasis is on understanding over mathematical calculations, and its goal is to give students a grasp of the role of variance and error. A chapter on graphical statistics complements the normal quantitative approaches and each technique is set in the context of how it is used to answer research questions.
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Book details

List price: $51.60
Copyright year: 2009
Publisher: Prentice Hall PTR
Publication date: 3/19/2008
Binding: Paperback
Pages: 224
Size: 6.00" wide x 8.75" long x 0.50" tall
Weight: 0.880
Language: English

Foundations of Statistics
Introduction to Statistics
Levels of Measurement
Describing Single Variables
Describing Variables: Graphical Statistics
Describing Variables: Measures of Central Tendency
Describing Variables: Measures of Dispersion
Describing Variables: Curves and Distributions
Describing Variables: Frequency Distributions
Testing for Bivariate Relationships
Elementary Relationships: Crosstabulation Tables
Hypotheses and Sampling Distributions
Statistical Significance
Testing for Significance: The Chi-Square Test
Testing for Significance in Two Groups: The T-Test
Testing for Significance in Multiple Groups: The Analysis of Variance
Determining the Strength of Relationships
The Concept of Association
Testing for Association: Phi
Testing for Association: Pearsonrsquo;s R and Regression
Doing Real Research: Elementary Multivariate Relationships
Box Plots
Determining normality: Skewness and Kurtosis
Ordinal Level Tests of Significance: The Mann-Whitney U-Test and the Kruskal-Wallis Analysis of Variance
Choosing a Multiple Comparison Test
Nominal Level Tests of Association: Lambda and the Uncertainty Coefficient
Ordinal Level Tests of Association: Gamma and Somerrsquo;s D