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Exercising Essential Statistics
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Exercising Essential Statistics

Fourth Edition
  • Evan Berman - Fundação Getulio Vargas, Brazil, Victoria University of Wellington, New Zealand, Fundação Getulio Vargas’s Sao Paulo School of Business Administration, Brazil
  • Xiaohu Wang - City University of Hong Kong, Hong Kong
January 2017 | 184 pages | CQ Press
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Through the use of critical thinking questions and data-based exercises 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.

To pair this companion workbook with Essential Statistics for Public Managers and Policy Analysts, Fourth Edition use bundle ISBN: 978-1-5063-7366-9. Click here to see more information about the main text.
 
Introduction
 
Chapter 1 Why Statistics for Public Managers and Analysts?
Q & A

 
Critical Thinking

 
Application Exercises

 
Further Reading

 
 
Chapter 2 Research Design
Q & A

 
Critical Thinking

 
Application Exercises

 
Further Reading

 
 
Chapter 3 Conceptualization and Measurement
Q & A

 
Critical Thinking

 
Application Exercises

 
Further Reading

 
 
Chapter 4 Measuring and Managing Performance: Present and Future
Q & A

 
Critical Thinking

 
Application Exercises

 
Further Reading

 
 
Chapter 5 Data Collection
Q & A

 
Critical Thinking

 
Application Exercises

 
Further Reading

 
 
Chapter 6 Central Tendency
Q & A

 
Critical Thinking

 
Data-Based Exercises

 
Further Reading

 
 
Chapter 7 Measures of Dispersion
Q & A

 
Critical Thinking

 
Data-Based Exercises

 
Further Reading

 
 
Chapter 8 Contingency Tables
Q & A

 
Critical Thinking

 
Data-Based Exercises

 
Further Reading

 
 
Chapter 9 Getting Results
Q & A

 
Critical Thinking

 
Data-Based Exercises

 
Further Reading

 
 
Chapter 10 Introducing Inference: Estimation from Samples
Q & A

 
Critical Thinking

 
Data-Based Exercises

 
Further Reading

 
 
Chapter 11 Hypothesis Testing with Chi-Square
Q & A

 
Critical Thinking

 
Data-Based Exercises

 
Further Reading

 
 
Chapter 12 The T-Test
Q & A

 
Critical Thinking

 
Data-Based Exercises

 
Further Reading

 
 
Chapter 13 Analysis of Variance (ANOVA)
Q & A

 
Critical Thinking

 
Data-Based Exercises

 
Further Reading

 
 
Chapter 14 Simple Regression
Q & A

 
Critical Thinking

 
Data-Based Exercises

 
Further Reading

 
 
Chapter 15 Multiple Regression
Q & A

 
Critical Thinking

 
Data-Based Exercises

 
Further Reading

 
 
Chapter 16 Logistic Regression and Time Series Regression
Q & A

 
Critical Thinking

 
Data-Based Exercises

 
Further Reading

 
 
Chapter 17 Survey of Other Techniques
Q & A

 
Critical Thinking

 
Data-Based Exercise

 
Further Reading

 
 
Chapter 18 Excel User’s Guide
Loading the Data Analysis ToolPak

 
Locating the Insert Function (fx)

 
The Excel Sheet Screen and Descriptive Statistics Procedure

 
Frequency Distributions

 
Chi-Square Test

 
One-Sample T-Test

 
Two-Samples T-Test

 
ANOVA

 
Regression

 
Creating Charts in Excel

 
 
Chapter 19 SPSS User’s Guide
SPSS Screens

 
Creating a Variable

 
Univariate Analysis: Means and Frequency Distributions

 
Variable Labels and Values

 
Defining Missing Values

 
Selecting a Subset of Observations for Analysis

 
Index Variables I: Cronbach Alpha

 
Index Variables II: Construction

 
Recoding Data

 
Hypothesis Testing with Chi-Square

 
T-Tests

 
Conclusion

 
 
Chapter 20 Dataset Documentation
Public Perceptions

 
Employee Attitudes

 
Community Indicators

 
Watershed

 
Productivity

 
Crime

 
Time

 
Florida County Conservation Spending Database

 
Key features
NEW AND KEY FEATURES:
  • New critical thinking questions, data-based exercises, tips on data presentation, and suggested reading lists have been added
  • Datasets are based on employee and citizen surveys as well as environmental, welfare, and public safety data
  • Concepts are explained using simple language rather than arithmetic formulas and calculations to make the statistical concepts and techniques easily understandable and applicable
  • Datasets are provided in Excel, SPSS, Stata, SAS, and SYSTAT formats

Sample Materials & Chapters

Chapter 1

Chapter 2

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