| dc.description.abstract | The success of the open-source statistical software “R” has made a significant
impact on the teaching and research of statistics in the last decade. Analysing data is
now easier and more affordable than ever, but choosing the most appropriate statistical
methods remains a challenge for many users. To understand and interpret
software output, it is necessary to engage with the fundamentals of statistics.
However, many readers do not feel comfortable with complicated mathematics.
In this book, we attempt to find a healthy balance between explaining statistical
concepts comprehensively and showing their application and interpretation using R.
This book will benefit beginners and self-learners from various backgrounds as
we complement each chapter with various exercises and detailed and comprehensible
solutions. The results involving mathematics and rigorous proofs are separated
from the main text, where possible, and are kept in an appendix for interested
readers. Our textbook covers material that is generally taught in introductory-level
statistics courses to students from various backgrounds, including sociology,
biology, economics, psychology, medicine, and others. Most often, we introduce
the statistical concepts using examples and illustrate the calculations both manually
and using R.
However, while we provide a gentle introduction to R (in the appendix), this is
not a software book. Our emphasis lies on explaining statistical concepts correctly
and comprehensively, using exercises and software to delve deeper into the subject
matter and learn about the conceptual challenges that the methods present. | en_US |
