Suitable for students and also practitioners of public administration who have actually bit background in statistics or research study methods, this book covers all statistical approaches.

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Kenneth J Meier; Jeffrey L Brudney; John Bohte
Boston, MA Wadsworth 2014
Print book : English : 9th edView all editions and also formats
Material Type: Document Type: All Authors / Contributors: ISBN: OCLC Number: Description: Contents: Responsibility:
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Publication, Internet Resource
Kenneth J Meier; Jeffrey L Brudney; John Bohte
1285737237 9781285737232
xxv, 496 Seiten
PART I: FOUNDATIONS OF QUANTITATIVE ANALYSIS.1. Statistics and Public and also Nonprofit Administration.2. Measurement.3. Research Deauthorize.PART II: DESCRIPTIVE STATISTICS.4. Frequency Distributions.5. Measures of Central Tendency.6. Measures of Dispersion.PART III: PROBABILITY.7. The Typical Probcapacity Distribution.8. The Binomial Probcapability Distribution.9. Some Special Probability Distributions.PART IV: INFERENTIAL STATISTICS.10. Introduction to Inference.11. Hypothesis Testing.12. Estimating Population Proportions.13. Testing the Difference in between Two Groups.PART V: ANALYSIS OF NOMINAL AND ORDINAL DATA.14. Construction and also Analysis of Contingency Tables.15. Aids for the Interpretation of Contingency Tables.16. Statistical Control Table Analysis.PART VI: REGRESSION ANALYSIS.17. Overview to Regression Analysis.18. The Assumptions of Linear Regression.19. Time Series Analysis.20. Multiple Regression.21. Regression Output and also File Management.
Kenneth J. Meier, Jeffrey L. Brudney, John Bohte


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PART I: FOUNDATIONS OF QUANTITATIVE ANALYSIS. 1. Statistics and also 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. The Common Probcapability Distribution. 8. The Binomial Probcapability Distribution. 9. Some Special Probability Distributions. PART IV: INFERENTIAL STATISTICS. 10. Introduction to Inference. 11. Hypothesis Testing. 12. Estimating Population Proportions. 13. Testing the Difference in between Two Groups. PART V: ANALYSIS OF NOMINAL AND ORDINAL DATA. 14. Construction and Analysis of Contingency Tables. 15. Aids for the Interpretation of Contingency Tables. 16. Statistical Control Table Analysis. PART VI: REGRESSION ANALYSIS. 17. Overview to Regression Analysis. 18. The Assumptions of Linear Regression. 19. Time Series Analysis. 20. Multiple Regression. 21. Regression Output and File Management. Read even more...