Applied Statistics for Public and Nonprofit Administration, 9th Edition
- Length: 528 pages
- Edition: 9
- Language: English
- Publisher: Cengage Learning
- Publication Date: 2014-01-01
- ISBN-10: 1285737237
- ISBN-13: 9781285737232
- Sales Rank: #93511 (See Top 100 Books)
As the first book ever published for public administration statistics courses, APPLIED STATISTICS FOR PUBLIC AND NONPROFIT ADMINISTRATION makes a difficult subject accessible to students and practitioners of public administration and to non-profit studies who have little background in statistics or research methods. Steeped in experience and practice, this landmark text remains the first and best in research methods and statistics for students and practitioners in public-and nonprofit-administration. All statistical techniques used by public administration professionals are covered, and all examples in the text relate to public administration and the nonprofit sector. Avoiding jargon and formula, this text uses a step-by-step approach that facilitates student learning.
About the Authors Brief Contents Contents List of Symbols Preface Part 1: Foundations of Quantitative Analysis Ch 1: Statistics and Public and Nonprofit Administration The Advantages of a Statistical Approach Statistics and Options for Managers The Role of Calculation Academic Standards for Master's Degree Programs in Public Affairs and Curricular Guidelines for Nonprofit Academic Programs A Road Map for This Book Ch 2: Measurement Theory of Measurement Measurement Validity Measurement Reliability Types of Measures Levels of Measurement Performance Measurement Techniques Chapter Summary Problems Ch 3: Research Design Constructing Causal Explanations Causal Relationships Research Design Experimental Designs of Research Quasi-Experimental Designs of Research Research Designs and Validity Chapter Summary Problems Part 2: Descriptive Statistics Ch 4: Frequency Distributions Constructing a Frequency Distribution The Percentage Distribution Cumulative Frequency Distributions Graphical Presentations Tips for Graphical Presentations Chapter Summary Problems Ch 5: Measures of Central Tendency The Mean The Median The Mode The Mean versus the Median Levels of Measurement and Measures of Central Tendency Hierarchy of Measurement Some Cautions Chapter Summary Problems Ch 6: Measures of Dispersion The Standard Deviation Shape of a Frequency Distribution and Measures of Central Tendency Using Measures of Dispersion and Central Tendency Together Chapter Summary Problems Part 3: Probability Ch 7: The Normal Probability Distribution Characteristics of the Normal Distribution z Scores and the Normal Distribution Table Applications of the Normal Distribution to Public and Nonprofit Management A Measurement Technique Based on Standard Normal Scores Chapter Summary Problems Ch 8: The Binomial Probability Distribution Binomial Probabilities The Normal Curve and the Binomial Distribution When to Use the Normal Curve Chapter Summary Problems Ch 9: Some Special Probability Distributions The Hypergeometric Probability Distribution The Poisson Distribution The Exponential Probability Distribution Chapter Summary Problems Part 4: Inferential Statistics Ch 10: Introduction to Inference Some Definitions Estimating a Population Mean Estimating a Population Standard Deviation The Standard Error How Sample Size Affects the Standard Error The t Distribution An Example Chapter Summary Problems Ch 11: Hypothesis Testing Steps in Hypothesis Testing The Importance of Stating the Null and Alternative Hypotheses Correctly Testing Hypotheses with Population Parameters Hypothesis Testing with Samples How Sure Should a Person Be? One- and Two-Tailed Tests Errors Determining Sample Size Chapter Summary Problems Answers to Sample Null and Research Hypotheses Ch 12: Estimating Population Proportions Estimating a Population Proportion Proportions A Digression Determining Sample Size Decision Making Chapter Summary Problems Ch 13: Testing the Difference between Two Groups Stating the Research and Null Hypotheses for Difference of Means Tests Difference of Means Procedure Understanding the Three Major Difference of Means Tests t Test Assuming Independent Samples with Unequal Variances t Test Assuming Independent Samples with Equal Variances t Test Assuming Dependent Samples Proportions Chapter Summary Problems Part 5: Analysis of Nominal and Ordinal Data Ch 14: Construction and Analysis of Contingency Tables Percentage Distributions Contingency Table Analysis Larger Contingency Tables Displaying Contingency Tables Chapter Summary Problems Ch 15: Aids for the Interpretation of Contingency Tables The Chi-Square Test: Statistical Significance for Contingency Tables Assessing the Strength of a Relationship Measures of Association Chapter Summary Problems Ch 16: Statistical Control Table Analysis Controlling for a Third Variable Results and Implications of Control Table Analysis Limitations of the Control Table Technique Chapter Summary Problems Part 6: Regression Analysis Ch 17: Introduction to Regression Analysis Relationships between Variables Ode to Eyeballing Linear Regression Some Applications An Example Measures of Goodness of Fit The Standard Error of the Estimate The Coefficient of Determination The Standard Error of the Slope Chapter Summary Problems Answer to Regression Problem Ch 18: The Assumptions of Linear Regression Assumption 1 Assumption 2 Assumption 3 Assumption 4 Assumption 5 Chapter Summary Problems Ch 19: Time Series Analysis Introduction to Time Series Forecasting without Fluctuation Forecasting an Exponential Trend Forecasting with a Short-Term Fluctuation Bivariate Forecasting Chapter Summary Problems Ch 20: Multiple Regression An Example Calculating Partial Slopes The Logic of Controls Dummy Variable Regression Regression with Three Independent Variables Testing a Hypothesis Two Additional Regression Assumptions Polynomial Curve Fitting Chapter Summary Problems Ch 21: Regression Output and Data Management Bivariate Regression Output Multiple Regression Output Dummy Variable Regression Output What to Report When Discussing Regression Output Data Management Issues The Importance of Examining Descriptive Statistics Prior to Using More Advanced Statistical Techniques Chapter Summary Problems Annotated Bibliography Statistical Tables Glossary Answers to Odd-Numbered Computational Problems Index
Donate to keep this site alive
1. Disable the AdBlock plugin. Otherwise, you may not get any links.
2. Solve the CAPTCHA.
3. Click download link.
4. Lead to download server to download.