A book to increase statistical problem solving skills I would like to have from you any suggestion about a specific book on statistics. I am a physicist, which means I already have a background in statistics and many other quantitative disciplines. My problem is that statistics has never been the main topic of any exam I did. Which means I already have a knowledge about this discipline but I fill a little failing in problem solving.
The book I believe is the right one for me should be mainly about exercises, in order to increase my problem solving skills, should have a somehow intriguing character, as at the moment statistics is not much more than an hobby, but should also be correlated with theory, in order to properly fill the gap I may have in the theory.
Any suggestion about that?

As a former Physicist myself, I very much sympathise with your desire to increase your statistical problem solving skills.
I'd like to recommend the brilliant

Don't let the playful tone of the book fool you: Despite (?) the sparsity of mathematical derivations in this book, it covers topics & models that lead to complex and highly non-trivial results. In my opinion McElreath manages to redefine and teach statistical problem solving in a way that was entirely missing from the stats courses I took as a Physics graduate 20 years ago.
McElreath's focus is on statistical modelling, model validation and exploring/questioning possible data generating processes, with plenty of examples & exercises to work through in R.
The book also comes highly recommended by Andrew Gelman and Stan colleagues.
