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Applied Statistics: For Public Policy
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ISBN
:
9788120329041
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Publisher
:
Phi Learning
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Subject
:
Mathematics
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Binding
:
Paperback
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Pages
:
552
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Year
:
2005
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395.0
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312.0
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Description
This comprehensive book in Applied Statistics provides the postgraduate students of public administration and political science with the statistical tools essential to analyze data and show how it can help in making intelligent policy decisions. The authors adopt a practical, hands-on approach to help students both learn the meaning of statistical measure and explain how to focus on interpreting results, instead of spending time on memorizing and applying dozens of statistical formulas. The book contains more than 500 end-of-chapter problems which can be solved using the Excel spreadsheet application developed by the authors to facilitate students' processing of data. The authors' Excel template titled POLYSTAT allows the users to enter numbers in the appropriate sheet and analyze the data. The book also contains the value added CD with the POLYSTAT template and 94 sample data sets. A fairly of large number of tables, exhibits and diagrams have been provided to illustrate the concepts discussed and to facilitate a better comprehension of the subject.
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Author Biography
Brian P. Macfie, Lecturer in Economics and Statistics, Arizona State University. He is a veteran of public policy analysis for the public and private sectors and recently served as Manager of Trend Analysis for the NJ TRANSIT Corporation in New Jersey. Table of Contents Preface Unit I: DESCRIPTIVE STATISTICS 1. Introduction: What Is Statistics All About? 2. Using POLYSTAT to Do Statistical Analysis 3. Presentation of Data 4. Summarizing Data and Using Descriptive Statistics Unit II: BASIC PROBABILITY AND PROBABILITY DISTRIBUTIONS- 5. Basic Probability: Theory and Applications 6. Sampling and the Normal Distribution 7. The Central Limit Theorem Unit III: HYPOTHESIS TESTING- 8. Introduction to Inferential Statistics 9. Estimating Means, Proportions, and Sample Size with Confidence 10. Validating a Hypothesis About a Population Mean Using a Sample 11. Validating Hypotheses Between Two Population Means 12. Validating Hypotheses About a Single Population Proportion 13. Validating Hypotheses About Two Population Proportions Unit IV: MEASURES OF ASSOCIATION- 14. Comparing More Than Two Population Means with ANOVA 15. Comparing More Than Two Proportions Using the Chi-Square Test 16. Determining Relationships for Two Variables Using Correlation 17. Measuring Relationships with Simple Regression Analysis 18. Measuring Multivariate Relationships with Regression Analysis 19. Planning Statistical Research Appendix Table 1: Area Under the Normal Curve Table 2: Critical Values of t-Distribution Table 3: Critical Values of F-Statistic Table 4: Critical Values of Chi-Square Statistic Key Formulas Index About the Authors
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