In the data analysis for my own research work, I was often slowed down by two
things: (1) I did not know enough statistics, and (2) the books available would
provide a theoretical background, but no real practical help. The book you are
holding in your hands (or on your tablet or laptop) is intended to be the book that
will solve this very problem. It is designed to provide enough basic understanding
so that you know what you are doing, and it should equip you with the tools you
need. I believe that the Python solutions provided in this book for the most basic
statistical problems address at least 90 % of the problems that most physicists,
biologists, and medical doctors encounter in their work. So if you are the typical
graduate student working on a degree, or a medical researcher analyzing the latest
experiments, chances are that you will find the tools you require here—explanation
and source-code included.
This is the reason I have focused on statistical basics and hypothesis tests in this
book and refer only briefly to other statistical approaches. I am well aware that most
of the tests presented in this book can also be carried out using statistical modeling.
But in many cases, this is not the methodology used in many life science journals.
Advanced statistical analysis goes beyond the scope of this book and—to be frank—
exceeds my own knowledge of statistics.

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