This book aims to introduce the principles of statistics and modern statistical analysis for a nonmathematical audience, using the free statistical package R.
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Contents
 Cover page / Foreword
 Introduction: Statistics is common sense
 Chapter 0: A basic introduction to the R software package
 Chapter 1: Assumptions and models
 Chapter 2: Datasets and types of data
 Chapter 3: Statistical models
 Chapter 4: Model formulation and EDA
 Chapter 5: Probability and likelihood
 Chapter 6: The error process

 Including hypothesis testing
 Chapter 7: Models for discrete data
 Chapter 8: Models for continuous data
 Chapter 9: Univariate models
 : to be continued
 Appendix A: R topics in text

 These can be used on their own as a basic introduction to R
 Appendix B: Further references
 Appendix C: Resources for contributors
 Appendix D: Freely available datasets used in the book