Known for its brevity and student-friendly approach, this new third edition of Essential Statistics provides students with a strong conceptual foundation, but continues to stress application. Class-tested learning objectives, key term lists, and numerous tables, figures, and charts further enhance skill acquisition.

Fully updated, this edition touts:

• two new chapters on applications in performance management and analysis and ANOVA;
• new coverage of essential nonparametric alternatives to conventional inferential statistics; and
• additional material on performance management, going beyond an emphasis on performance measurement.

Fully updated, this edition touts:

• two new chapters on applications in performance management and analysis and ANOVA;
• new coverage of essential nonparametric alternatives to conventional inferential statistics; and
• additional material on performance management, going beyond an emphasis on performance measurement.

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Section I. Introduction
1. Why Statistics for Public Managers and 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. Hypothesis Testing with Chi-square
11. Measures of Association
12. The T-test
13. Analysis of Variance (ANOVA)
14. Simple Regression
15. Multiple Regression

Section V. Further Statistics
16. Logistic Regression
17. Time Series Analysis
18. Survey of Other Techniques

Appendix: Statistical Tables

Evan M. Berman is university chair professor at the National Chengchi University (Taipei, Taiwan) Doctoral Program in Asia-Pacific Studies, and the Department of Public Administration. Prior to moving to Taiwan, he was the Huey McElveen Distinguished Professor at Louisiana State University, and professor of public administration at the University of Central Florida and the University of Miami. Evan Berman is widely recognized a leading scholar of his generation and has published widely on topic of productivity, performance and human resources management in the U.S. and abroad. He has taught quantitative methods and research methods for over twenty years – the result of which is this book. Berman has served as a policy analyst for the National Science Foundation. The conceptual and non-mathematical approach is inspired by a background in physics.

XiaoHu Wang is Professor of Public Administration at City University of Hong Kong. Previously, he was Professor of Public Administration at the University of Central Florida (UCF). He has more than 20 years of experience teaching statistical methods, public budgeting, and financial management. He has been working with many U.S. governmental and nonprofit agencies as project manager, analyst, or performance evaluator. His applications of statistical methods in research and practice have helped many governments and nonprofits improve their performance and operations. He serves on editorial boards of several academic journals and chaired American Society of Public Administration's Section on Public Performance and Management. He is the winner of multiple teaching and research awards at UCF.

 Instructor’s Resources: 

 http://college.cqpress.com/sites/berman/Home.aspx

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