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As the first book ever published for public administration statistics courses, APPLIED STATISTICS FOR PUBLIC AND NONPROFIT ADMINISTRATION makes a difficult subject accessible to students and practitioners of public administration who have little background in statistics or research methods. Steeped in experience and practice, this landmark text remains the first and best in research methods and statistics for students and practitioners in public--and nonprofit--administration. All statistical techniques used by public administration professionals are covered, and all examples in the text relate to public administration and the nonprofit sector. The text avoids jargon and formulae; instead, it uses a step-by-step approach that facilitates student learning.
- New! The eighth edition incorporates more discussion of problems and examples that are important to the nonprofit sector and organizations. The text and examples are now even more interesting to students with a background in nonprofit organizations or aspirations to work in the nonprofit sector.
- New! Upon recommendations from reviewers, faculty, and students, additional exercises have been added at the end of each chapter. As in previous editions, answers to odd-numbered computational problems are provided at the back of the book. In addition, you can access answers to all problems in the Instructor's Manual.
- New! Also upon recommendation from reviewers, faculty, and students, more Excel®-based problems, identified in the text with a computer icon, have been included in this edition. Data sets for these problems are available for instructors and students on the text's companion website.
- New! The chapter covering Linear Programming has been removed from the physical text for the eighth edition, but has been lightly revised and provided on the companion website for those instructors who want to continue using the material.
- New! Increased coverage has been added to the discussion of research designs.
- Computer Application: The authors include data sets in Excel® available to both the instructor and students. These data sets from public and nonprofit administration provide the opportunity to use statistical package programs such as SPSS®, SAS®, STATA®, and Minitab® to analyze data and obtain results on the computer.
- Accessibility: The text provides students of different backgrounds the tools needed to learn and apply statistical methods quickly and easily. No previous background or preparation in statistics, methods, or analysis is needed.
- Practicality: This textbook addresses practical problems and presents examples that practitioners in the field of public and nonprofit administration face.
- Usefulness: The authors give students the tools and examples they need to analyze and make sense of data, to interpret the strengths and limitations of the results obtained, and to communicate their findings clearly and persuasively.
- Problem Solving: This text includes problem sets at the end of each chapter to reinforce student learning.
List of Symbols.
PART I: FOUNDATIONS OF QUANTITATIVE ANALYSIS.
1. Statistics and Public and Nonprofit Administration.
3. Research Design.
PART II: DESCRIPTIVE STATISTICS.
4. Frequency Distributions.
5. Measures of Central Tendency.
6. Measures of Dispersion.
PART III: PROBABILITY.
7. Introduction to Probability.
8. The Normal Probability Distribution.
9. The Binomial Probability Distribution.
10. Some Special Probability Distributions.
PART IV: INFERENTIAL STATISTICS.
11. Introduction to Inference.
12. Hypothesis Testing.
13. Estimating Population Proportions.
14. Testing the Difference between Two Groups.
PART V: ANALYSIS OF NOMINAL AND ORDINAL DATA.
15. Construction and Analysis of Contingency Tables.
16. Aids for the Interpretation of Contingency Tables.
17. Statistical Control Table Analysis.
PART VI: REGRESSION ANALYSIS.
18. Introduction to Regression Analysis.
19. The Assumptions of Linear Regression.
20. Time Series Analysis.
21. Multiple Regression.
22. Interrupted Time Series: Program and Policy Analysis.
23. Regression Output and Data Management.
PART VII: SPECIAL TOPICS IN QUANTITATIVE MANAGEMENT.
24. Performance Measurement Techniques.
25. Decision Theory.
Answers to Odd-Numbered Computational Problems.
"Clarity, clarity, clarity. The key for our students--and the appeal of Meier/Brudney/Bohte--is exposure to a clear and accessible introduction to quantitative analysis."-- Matthew Dull, Virginia Tech
Cengage provides a range of supplements that are updated in coordination with the main title selection. For more information about these supplements, contact your Learning Consultant.
Online Instructor's Manual
The Instructor's Manual contains for each chapter: objectives, major points, difficult points, answers to computational problems, and examination questions and answers. Access your IM by logging into your account at www.cengage.com/login.