Full Description
For criminology and criminal justice undergraduate statistics courses. 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 Pearson's r-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.
Contents
Section 1. Foundations of StatisticsI. Introduction to StatisticsII. Levels of MeasurementSection 2. Describing Single VariablesIII. Describing Variables: Graphical StatisticsIV. Describing Variables: Measures of Central TendencyV. Describing Variables: Measures of DispersionVI. Describing Variables: Curves and DistributionsVII. Describing Variables: Frequency DistributionsSection 3. Testing for Bivariate RelationshipsVIII. Elementary Relationships: Crosstabulation TablesIX. Hypotheses and Sampling DistributionsX. Statistical SignificanceXI. Testing for Significance: The Chi-Square TestXII. Testing for Significance in Two Groups: The T-TestXIII. Testing for Significance in Multiple Groups: The Analysis of VarianceSection 4. Determining the Strength of RelationshipsXIV. The Concept of AssociationXV. Testing for Association: PhiXVI. Testing for Association: Pearson's R and RegressionXVII. Doing Real Research: Elementary Multivariate RelationshipsAppendicesA. Box PlotsB. Determining normality: Skewness and KurtosisC. Ordinal Level Tests of Significance: The Mann-Whitney U-Test and the Kruskal-Wallis Analysis of VarianceD. Choosing a Multiple Comparison TestE. Nominal Level Tests of Association: Lambda and the Uncertainty CoefficientF. Ordinal Level Tests of Association: Gamma and Somer's D
