Full Description
Ideal for introductory statistics courses at both the undergraduate and graduate levels, Basic Statistics for the Behavioral and Social Sciences Using R is specifically designed to make adoption simple in a variety of disciplines. The text includes topics typically covered in introductory textbooks: probability, descriptive statistics, visualization, comparisons of means, tests of association, correlations, OLS regression, and power analysis. However, it also transcends other books at this level by covering topics such as bootstrapping and an introduction to R, for those who are novices to this powerful tool. In a straightforward and easy-to-understand format, the authors provide readers with a plethora of freely available and robust resources and examples that are applicable to a wide variety of behavioral and social science disciplines, including social work, psychology, and physical and occupational therapy. The book is a must-read for all professors and students endeavoring to learn basic statistics.
Contents
Chapter 1. Introduction to Basic Statistics for the Behavioral and Social Sciences Using RChapter 2. Descriptive StatisticsChapter 3. Probabilities and the Binomial DistributionChapter 4. The Normal Distribution and Standardized ScoresChapter 5. Introduction to Inferential StatisticsChapter 6. Comparing SamplesChapter 7. Non-Parametric Tests of Central TendencyChapter 8. Correlation and Simple Linear RegressionChapter 9. Tests of AssociationChapter 10. Power AnalysisReferencesAppendix A. Additional Resources for Learning RAppendix B. Math ReviewAppendix C. Getting Started with RAppendix D. Dataset ExplanationsGlossary
