1st Edition

Introductory Statistics A Conceptual Approach Using R

520 Pages
by Routledge

518 Pages
by Routledge

520 Pages
by Routledge

This comprehensive and uniquely organized text is aimed at undergraduate and graduate level statistics courses in education, psychology, and other social sciences. A conceptual approach, built around common issues and problems rather than statistical techniques, allows students to understand the conceptual nature of statistical procedures and to focus more on cases and examples of analysis.... Read more

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

Biography

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.