William B. Ware, John M. Ferron, Barbara M. Miller

Introductory Statistics (eBook, PDF)

A Conceptual Approach Using R

• Format: PDF

Produktbeschreibung

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. Wherever possible, presentations contain explanations of the underlying reasons behind a technique. Importantly, this is one of the first statistics texts in the social sciences using R as the principal statistical package.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 520
• Erscheinungstermin: 15. Februar 2013
• Englisch
• ISBN-13: 9781136870118
• Artikelnr.: 38275620

Autorenporträt

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