Test Bank for Essential Statistics for Public Managers and Policy Analysts, 4th Edition, Evan Berman, Xiaohu Wang
Table Of Content
Chapter 1 Why Statistics for Public Managers and Policy Analysts?
Section II: Research Methods
Chapter 2 Research Design
Chapter 3 Conceptualization and Measurement
Chapter 4 Measuring and Managing Performance: Present and Future
Chapter 5 Data Collection
Section III: Descriptive Statistics
Chapter 6 Central Tendency
Chapter 7 Measures of Dispersion
Chapter 8 Contingency Tables
Chapter 9 Getting Results
Section IV: Inferential Statistics
Chapter 10 Introducing Inference: Estimation from Samples
Chapter 11 Hypothesis Testing with Chi-Square
Chapter 12 The T-Test
Chapter Objectives
T-Tests for Independent Samples
Two T-Test Variations
Nonparametric Alternatives to T-Tests
Summary
Key Terms
Chapter 13 Analysis of Variance (ANOVA)
Chapter Objectives
Analysis of Variance
A Nonparametric Alternative
Summary
Key Terms
Chapter 14 Simple Regression
Chapter Objectives
Simple Regression
Pearson’s Correlation Coefficient
Spearman’s Rank Correlation Coefficient
Summary
Key Terms
Chapter 15 Multiple Regression
Chapter Objectives
Model Specification
A Working Example
Further Statistics
Use of Nominal Variables
Testing Assumptions
Summary
Key Terms
Section V: Further Statistics
Chapter 16 Logistic and Time Series Regression
Chapter Objectives
The Logistic Model
A Working Example
Time Series in Multiple Regression
Summary
Key Terms
Chapter 17 Survey of Other Techniques
Chapter Objectives
Path Analysis
Statistical Forecasting
Survival Analysis
Factor Analysis
Summary
Key Terms
Appendixes
A: Normal Distribution
B: Chi-Square (c2) Distribution
C: T-Test Distribution
D: Durbin-Watson Distribution
E: F-Test Distribution
Glossary
Index
About the Authors
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