Having struggled to understand some concepts around hypothesis testing from other sources, I was seeking out a book that would have an easy to understand structure and would spend more time explaining some of the more basic foundations underpinning statistics - these are often glossed over in other sources.
I've found this book to be just what I was looking for. I now feel confident that I understand concepts like the null hypothesis, p values, significance, as well as knowing how to interpret statistical results. Ian Walker uses real life examples as well as some thought experiments to clearly explain each concept.
A short section opening the book covers research methods, with a brief overview of quantitative and qualitative methods, as well as ethical considerations in psychological research. This section doesn't go into too much depth as the bulk of the book is devoted to explaining statistics instead. Statistics are a vital part of any research project, and the book explains a little about how they fit together with research methods, but the focus is definitely on the statistics themselves.
The book was designed for psychology students, but much of the content could easily be transferred to other disciplines since many of the techniques are equally applicable in other areas.
So if you're struggling to understand some concepts in statistics like I was, then this book might help you to make that crucial breakthrough in understanding.