Exercising Essential Statistics
eBook - ePub

Exercising Essential Statistics

  1. 184 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Exercising Essential Statistics

Book details
Table of contents
Citations

About This Book

Through the use of critical thinking questions and data-based exercises, Evan Berman and Xiaohu Wang’s Exercising Essential Statistics helps students apply the techniques described in Essential Statistics for Public Managers and Policy Analysts, Fourth Edition. This accompanying workbook gives students the opportunity to practice these techniques through hands-on, carefully crafted exercises. Various examples are provided from human resource management, organizational behavior, budgeting, and public policy to illustrate how public administrators interact with and analyze data. The workbook's CD includes seven data sets that cover a range of measures and applications (available in SPSS, SAS, SYSTAT, Stata, and Excel).

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Yes, you can access Exercising Essential Statistics by Evan M. Berman, XiaoHu Wang in PDF and/or ePUB format, as well as other popular books in Politics & International Relations & Public Affairs & Administration. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Introduction
  7. Chapter 1 Why Statistics for Public Managers and Analysts?
  8. Chapter 2 Research Design
  9. Chapter 3 Conceptualization and Measurement
  10. Chapter 4 Measuring and Managing Performance: Present and Future
  11. Chapter 5 Data Collection
  12. Chapter 6 Central Tendency
  13. Chapter 7 Measures of Dispersion
  14. Chapter 8 Contingency Tables
  15. Chapter 9 Getting Results
  16. Chapter 10 Introducing Inference: Estimation from Samples
  17. Chapter 11 Hypothesis Testing with Chi-Square
  18. Chapter 12 The T-Test
  19. Chapter 13 Analysis of Variance (ANOVA)
  20. Chapter 14 Simple Regression
  21. Chapter 15 Multiple Regression
  22. Chapter 16 Logistic Regression and Time Series Regression
  23. Chapter 17 Survey of Other Techniques
  24. Chapter 18 Excel User’s Guide
  25. Chapter 19 SPSS User’s Guide
  26. Chapter 20 Dataset Documentation
  27. Publisher Note