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Introduction to Statistics - Criminal Justice
STATISTICS FOR CRIMINOLOGY AND CRIMINAL JUSTICE THIRD EDITION
Jacinta M. Gau, University of Central Florida
Show your students how statistics is relevant to their daily lives and future careers by illustrating the logical connections
between basic statistical concepts and their real-world implications in criminology and criminal justice.
CONTENTS PART I. DESCRIPTIVE STATISTICS / 1. Introduction to the Use of Statistics in Criminal Justice and Criminology / 2. Types of Variables
and Levels of Measurement / 3. Organizing, Displaying, and Presenting Data / 4. Measures of Central Tendency / 5. Measures of Dispersion / PART
II. PROBABILITY AND DISTRIBUTIONS / 6. Probability / 7. Population, Sample, and Sampling Distributions / 8. Point Estimates and Confi dence
Intervals / PART III. HYPOTHESIS TESTING / 9. Hypothesis Testing: A Conceptual Introduction / 10. Hypothesis Testing With Two Categorical Variables:
Chi-Square / 11. Hypothesis Testing With Two Population Means or Proportions / 12. Hypothesis Testing With Three or More Population Means:
Analysis of Variance / 13. Hypothesis Testing With Two Continuous Variables: Correlation / 14. Introduction to Regression Analysis
PAPERBACK ISBN: 978-1-5063-9178-6 • ©2019 • 456 PAGES • • •
ESSENTIALS OF STATISTICS FOR CRIMINOLOGY AND CRIMINAL JUSTICE
Raymond Paternoster, University of Maryland • Ronet D. Bachman, University of Delaware
Help your students understand the vital role that research and statistics play in the study of criminology and criminal
justice by giving them a book that shows them how to conduct and interpret statistics in real-world settings with a
step-by-step approach to solving problems.
CONTENTS 1. Setting the Stage: Why Learning This Stuff is Important! / 2. Understanding Data Distributions With Tables and Graphs / 4.
Measures of Dispersion / 5. Moving Beyond Description: Introducing Inferential Statistics: Probability Distributions and an Introduction to
Hypothesis Testing / 6. Point Estimation and Confi dence Intervals / 7. Hypothesis Testing for One Population Mean and Proportion / 8.Testing
Hypotheses With Two Categorical Variables / 9. Hypothesis Tests Involving Two Population Means or Proportions By / 10. Hypothesis Testing Involving
Three or More Population Means: Analysis of Variance / 11. Bivariate Correlation and Ordinary Least Squares (OLS) Regression / 12. Controlling for
a Third Variable: Multiple OLS Regression
PAPERBACK ISBN: 978-1-5063-6547-3 • ©2018 • 424 PAGES •
online
resources
• •
Introduction to Statistics - Political Science/Public Administration
UPDATED EDITION OF BEST SELLER
A STATA
®
COMPANION TO POLITICAL ANALYSIS FOURTH EDITION
Philip H. Pollock III, University of Central Florida • Barry C. Edwards, University of Central Florida
With Philip Pollock's Fourth Edition of A Stata® Companion to Political Analysis, students quickly learn Stata via
step-by-step instruction, more than 50 exercises, customized datasets, annotated screen shots, boxes that highlight
Stata's special capabilities, and guidance on using Stata to read raw data.
CONTENTS 1. Introduction to Stata / 2. Descriptive Statistics / 3. Transforming Variables / 4. Making Comparisons / 5. Making Controlled
Comparisons / 6. Making Inferences About Sample Means / 7. Chi-Square and Measures of Association / 8. Correlation and Linear Regression / 9.
Dummy Variables and Interaction Effects / 10. Logistic Regression / 11. Doing Your Own Political Analysis
PAPERBACK ISBN: 978-1-5063-7970-8 • ©2019 • 288 PAGES • •
BEST SELLER
ESSENTIAL STATISTICS FOR PUBLIC MANAGERS AND POLICY ANALYSTS
FOURTH EDITION
Evan Berman, Victoria University of Wellington, New Zealand • Xiaohu Wang, University of Central Florida
Essential Statistics for Public Managers and Policy Analysts remains one of the most popular introductory books on
statistics for public policy and public administration students, using carefully selected examples tailored specifi cally for
them.
CONTENTS SECTION I: INTRODUCTION / 1. Why Statistics for Public Managers and Policy Analysts? / SECTION II: RESEARCH METHODS / 2.
Research Design / 3. Conceptualization and Measurement / 4. Measuring and Managing Performance: Present and Future / 5. Data Collection
/ SECTION III: DESCRIPTIVE STATISTICS / 6. Central Tendency / 7. Measures of Dispersion / 8. Contingency Tables / 9. Getting Results / SECTION
IV: INFERENTIAL STATISTICS / 10. Introducing Inference: Estimation from Samples / 11. Hypothesis Testing with Chi-Square / 12. The T-Test / 13.
Analysis of Variance (ANOVA) / 14. Simple Regression / 15. Multiple Regression / SECTION V: FURTHER STATISTICS / 16. Logistic and Time Series
Regression / 17. Survey of Other Techniques
PAPERBACK ISBN: 978-1-5063-6431-5 • ©2018 • 368 PAGES • • • •
