Essential Statistics for Public Managers and Policy Analysts 4th Edition Berman Solutions Manual
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Essential Statistics for Public Managers and Policy Analysts 4th Edition Berman Solutions Manual.
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This is completed downloadable of Essential Statistics for Public Managers and Policy Analysts 4th Edition Berman Solutions Manual
Product Details:
- ISBN-10 : 9781506364315
- ISBN-13 : 978-1506364315
- Author: Evan M. Berman
Known for its brevity and student-friendly approach, Essential Statistics for Public Managers and Policy Analysts remains one of the most popular introductory books on statistics for public policy and public administration students, using carefully selected examples tailored specifically for them. The Fourth Edition continues to offer a conceptual understanding of statistics that can be applied readily to the real-life challenges of public administrators and policy analysts. The book provides examples from the areas of human resources management, organizational behavior, budgeting, and public policy to illustrate how public administrators interact with and analyze data.
Table of Content:
Tables, Figures, and BoxesPrefaceAcknowledgmentsStatistics Roadmap
Section I: Introduction
Chapter 1 Why Statistics for Public Managers and Policy Analysts? Chapter Objectives Role of Data in Public Management Competency and Proficiency Ethics in Data Analysis and Research Summary Key TermsSection II: Research Methods
Chapter 2 Research Design Chapter Objectives Introducing Variables and Their Relationships Program Evaluation A Bit More: Extending through Quasi-experimental Design Summary Key Terms
Chapter 3 Conceptualization and Measurement Chapter Objectives Measurement Levels and Scales Conceptualization Operationalization Index Variables Measurement Validity Summary Key Terms
Chapter 4 Measuring and Managing Performance: Present and Future Chapter Objectives Performance Measurement Managing Performance Efficiency, Effectiveness, and a Bit More Peering Into the Future: Forecasting Summary Key Terms
Chapter 5 Data Collection Chapter Objectives Sources of Data Sampling Data Input Putting It Together Summary Key Terms
Section III: Descriptive Statistics
Chapter 6 Central Tendency Chapter Objectives The Mean The Median The Mode Summary Key Terms Appendix 6.1: Using Grouped Data
Chapter 7 Measures of Dispersion Chapter Objectives Frequency Distributions Standard Deviation Summary Key Terms Appendix 7.1: Boxplots
Chapter 8 Contingency Tables Chapter Objectives Contingency Tables Relationship and Direction Pivot Tables Summary Key Terms
Chapter 9 Getting Results Chapter Objectives Analysis of Outputs and Outcomes Analysis of Efficiency and Effectiveness Analysis of Equity Quality-of-Life Analysis A Bit of Forecasting, Too Some Cautions in Analysis and Presentation Summary Key Terms Appendix 9.1: Forecasting with Periodic EffectsSection IV: Inferential Statistics
Chapter 10 Introducing Inference: Estimation from Samples Chapter Objectives From Sample to Population Statistical Estimation of Population Parameters Summary Key Terms
Chapter 11 Hypothesis Testing with Chi-Square Chapter Objectives What Is Chi-Square? Hypothesis Testing The Goodness-of-Fit Test A Nonparametric Alternative Summary Key Terms Appendix 11.1: Rival Hypotheses: Adding a Control Variable Appendix 11.2: Some Nonparametric Tests for Specific Situations
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 TermsAppendixesA: Normal DistributionB: Chi-Square (c2) DistributionC: T-Test DistributionD: Durbin-Watson DistributionE: F-Test DistributionGlossaryIndexAbout the Authors
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