# Statistical Analysis: an Introduction using R

This book aims to introduce the principles of statistics and modern statistical analysis for a non-mathematical 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