Learning Statistics Using R

Brief Contents
Detailed Contents
About the Author
Preface
Acknowledgments
PART I. INTRODUCTION AND BACKGROUND
	1. R Basics
	2. Research Methods
	3. Probability
	4. Sampling and Populations
PART II. STATISTICAL THEORY AND INFERENCE
	5. Population Distributions
	6. Sampling Distributions
	7. Statistical Distributions
PART III. DESCRIPTIVE METHODS
	8. Graphing Data
	9. Central Tendency and Dispersion
PART IV. STATISTICAL METHODS
	10. Hypothesis Testing
	11. Chi-Square Test for Categorical Data
	12. z Test for Differences in Proportions
	13. t Test for Mean Differences (Two Groups)
	14. F Test for Mean Differences (Three or More Groups)
	15. Correlation Tests of Association
	16. Linear Regression Tests of Prediction
	17. Multiple Regression
	18. Logistic Regression
	19. Log-Linear Regression
PART V. REPLICATION AND VALIDATION OF RESEARCH FINDINGS
	20. Replication of Statistical Tests
	21. Synthesis of Research Findings
Glossary of Terms
Glossary of Packages, Functions, and Commands Used in the Book
Appendix A: Statistical Tables
Appendix B: Guide for Selecting a Statistical Test
References
Author Index
Subject Index