I am asking for a reference in basic statistics following, in the same spirit as my similar question for probability here. That is it should:
- Assume some mathematical maturity and can make use of analysis, linear algebra, etc from page 1. On the other hand it should assume nothing itself on statistics itself.
- Be concise but still show examples. It should present the basics results of statistics (whatever that means, I am trying to say that I prefer a book focusing on few fundamental things).
- Not sloppy, but I am not looking for particularly abstract or research oriented viewpoint.
What is it for: I would like to get some basic understanding of machine learning and other data science related techniques. Before doing so, I would like to get some basics in statistics. The rough amount of time I would like to dedicate to this is roughly 6-8 weeks. I am not pretending to learn everything which can be useful for data science in such a short time, but rather the most essential things which would allow me to have a look ahead with some real understanding, rather than just following recipes and copy-pasting code found somewhere.