The fully updates Second Edition includes new learning objectives and learning checks to help guide students through the material and ensure content understanding and retention. Coverage of the fundamental areas in statistics begins with descriptive statistics, moves into probability, and ends with regression to make the content easier for students to follow. Emphasis is placed on balancing thoroughness with ease of understanding in order to show students the importance and relevance of statistics in their future criminal justice careers. INDICE: Part I: Descriptive StatisticsChapter 1: Introduction to the Use of Statistics in Criminal Justice and Criminology Science: Basic Terms and Concepts Types of Scientific Research in Criminal Justice and Criminology Software Packages for Statistical Analysis Organization of the Book Chapter 1 Review ProblemsChapter 2: Types of Variables and Levels of Measurement Units of Analysis Independent and Dependent Variables Relationships between Variables: A Cautionary Note Levels of Measurement Chapter Summary Chapter 2 Review ProblemsChapter 3: Organizing, Displaying, and Presenting Data Data Distributions Graphs and Charts Grouped Data SPSS Chapter Summary Chapter 3 Review ProblemsChapter 4: Measures of Central Tendency The Mode The Median The Mean Using the Mean and Median to Determine Distribution Shape The Mean as the Midpoint of the Magnitudes SPSS Chapter Summary Chapter 4 Review ProblemsChapter 5: Measures of Dispersion The Variation Ratio The Range The Variance The Standard Deviation SPSS Chapter Summary Chapter 5 Review ProblemsPart II: Probability and DistributionsChapter 6: Probability Discrete Probability: The Binomial Probability Distribution Continuous Probability: The Standard Normal Curve Chapter Summary Chapter 6 Review ProblemsChapter 7: Population, Sample, and Sampling Distributions Empirical Distributions: Population and Sample Distributions Theoretical Distributions: Sampling Distributions Sample Size and the Sampling Distribution: The z and t Distributions Chapter Summary Chapter 7 Review ProblemsChapter 8: Point Estimates and Confidence Intervals The Level of Confidence: The Probability of Being Correct Confidence Intervals for Means with Large Samples Confidence Intervals for Means with Small Samples Confidence Intervals with Proportions and Percentages Chapter Summary Chapter 8 Review ProblemsPart III: Hypothesis TestingChapter 9: Hypothesis Testing: A Conceptual Introduction Chapter Summary Chapter 9 Review ProblemsChapter 10: Hypothesis Testing With Two Categorical Variables: Chi-Square Conceptual Basis of the Chi-Square Test: Statistical Dependence and Independence The Chi-Square Test of Independence Measures of Association SPSS Chapter Summary Chapter 10 Review ProblemsChapter 11: Hypothesis Testing With Two Population Means or Proportions Two-Population Tests for Differences between Means: t Tests Two-Population Tests for Differences between Proportions SPSS Chapter Summary Chapter 11 Review ProblemsChapter 12: Hypothesis Testing With Three or More Population Means: Analysis of Variance ANOVA: Different Types of Variances When the Null Is Rejected: A Measure of Association and Post Hoc Tests SPSS Chapter Summary Chapter 12 Review ProblemsChapter 13: Hypothesis Testing With Two Continuous Variables: Correlation Beyond Statistical Significance: Sign, Magnitude, and Coefficient of Determination SPSS Chapter Summary Chapter 13 Review ProblemsChapter 14: Introduction to Regression Analysis One Independent Variable and One Dependent Variable: Bivariate Regression Adding More Independent Variables: Multiple Regression Ordinary Least Squares Regression in SPSS Chapter Summary Chapter 14 Review Problems
- ISBN: 978-1-4833-7845-9
- Editorial: SAGE Publications, Inc
- Encuadernacion: Rústica
- Páginas: 440
- Fecha Publicación: 30/04/2015
- Nº Volúmenes: 1
- Idioma: