Suitable for undergraduate and graduate level statistics courses in education and psychology, this comprehensive text presents an organization scheme built around common issues and problems that allow students to understand the conceptual nature of statistical procedures.
Suitable for undergraduate and graduate level statistics courses in education and psychology, this comprehensive text presents an organization scheme built around common issues and problems that allow students to understand the conceptual nature of statistical procedures.
William B. Ware is Professor at the University of North Carolina at Chapel Hill, USA. John M. Ferron is Professor at the University of South Florida, USA. Barbara M. Miller is Associate Professor at Elon University, USA.
Inhaltsangabe
1. Introduction and Background II. Descriptive Statistics 2. Describing Quantitative Data with Frequency Distributions 3. Describing Quantitative Data: Summary Statistics 4. Describing Categorical Data: Frequency Distributions, Graphics, and Summary Statistics 5. Describing the Position of a Case within a Set of Scores 6. Describing the Relationship between Two Quantitative Variables: Correlation 7. Describing the Relationship between Two Quantitative Variables: Regression III. The Fundamentals of Statistical Inference 8. The Essentials of Probability 9. Probability and Sampling Distributions 10. The Normal Distribution IV. Statistical Inference 11. The Basics of Statistical Inference: Tests of Location 12. Other One-Sample Tests for Location 13. More One-Sample Tests 14. Two-Sample Tests of Location 15. Other Two-Sample Tests: Variability and Relationships V. K-Sample Tests 16. Tests on Location: Analysis of Variance and Other Selected Procedures 17. Multiple Comparison Procedures 18. Looking Back... and Beyond Appendix A: Statistical Tables Appendix B: Getting Started with R Index
1. Introduction and Background II. Descriptive Statistics 2. Describing Quantitative Data with Frequency Distributions 3. Describing Quantitative Data: Summary Statistics 4. Describing Categorical Data: Frequency Distributions, Graphics, and Summary Statistics 5. Describing the Position of a Case within a Set of Scores 6. Describing the Relationship between Two Quantitative Variables: Correlation 7. Describing the Relationship between Two Quantitative Variables: Regression III. The Fundamentals of Statistical Inference 8. The Essentials of Probability 9. Probability and Sampling Distributions 10. The Normal Distribution IV. Statistical Inference 11. The Basics of Statistical Inference: Tests of Location 12. Other One-Sample Tests for Location 13. More One-Sample Tests 14. Two-Sample Tests of Location 15. Other Two-Sample Tests: Variability and Relationships V. K-Sample Tests 16. Tests on Location: Analysis of Variance and Other Selected Procedures 17. Multiple Comparison Procedures 18. Looking Back... and Beyond Appendix A: Statistical Tables Appendix B: Getting Started with R Index
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