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by Kenneth J. Meier, Jeffrey L. Brudney and John Bohte

Edition: 7TH 09Copyright: 2009

Publisher: Wadsworth, Inc

Published: 2009

International: No

Kenneth J. Meier, Jeffrey L. Brudney and John Bohte

Edition: 7TH 09This title is currently not available in digital format.

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As the first book ever published for public administration statistics courses, APPLIED STATISTICS FOR PUBLIC AND NONPROFIT ADMINISTRATION makes a complicated subject easy to understand for students and professionals 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 doesn't use jargon; instead, it uses a step-by-step approach that helps you master the concepts.

Contents. List of Symbols. Preface.

Part I: FOUNDATIONS OF QUANTITATIVE ANALYSIS. 1. Statistics and Public and Nonprofit Administration. 2. Measurement. 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. 26. Linear Programming. Annotated Bibliography. Statistical Tables. Glossary. Answers to Odd-Numbered Computational Problems. Index.

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Summary

As the first book ever published for public administration statistics courses, APPLIED STATISTICS FOR PUBLIC AND NONPROFIT ADMINISTRATION makes a complicated subject easy to understand for students and professionals 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 doesn't use jargon; instead, it uses a step-by-step approach that helps you master the concepts.

Table of Contents

Contents. List of Symbols. Preface.

Part I: FOUNDATIONS OF QUANTITATIVE ANALYSIS. 1. Statistics and Public and Nonprofit Administration. 2. Measurement. 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. 26. Linear Programming. Annotated Bibliography. Statistical Tables. Glossary. Answers to Odd-Numbered Computational Problems. Index.

Publisher Info

Publisher: Wadsworth, Inc

Published: 2009

International: No

Published: 2009

International: No

Contents. List of Symbols. Preface.

Part I: FOUNDATIONS OF QUANTITATIVE ANALYSIS. 1. Statistics and Public and Nonprofit Administration. 2. Measurement. 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. 26. Linear Programming. Annotated Bibliography. Statistical Tables. Glossary. Answers to Odd-Numbered Computational Problems. Index.