I have published an online draft of my new introductory statistics book, titled "Statistical Thinking for the 21st Century", at http://thinkstats.org. This book was written for my undergraduate statistics course at Stanford, which I started teaching last year. The first time around I used Andy Field's An Adventure in Statistics, which I really like but most of my students disliked because the statistical content was buried within a lot of story. In addition, there are a number of topics (overfitting, cross-validation, reproducibility) that I wanted to cover in the course but weren't covered deeply in the book. So I decided to write my own, basically transcribing my lecture slides into a set of RMarkdown notebooks and generating a book using Bookdown.
There are certainly many claims in the book that are debatable, and almost certainly things that I have gotten wrong as well, given that I Am Not A Statistician. If you have the time and energy, I'd love to hear your thoughts/suggestions/corrections - either by emailing me, or by posting issues at the github repo.
I am currently looking into options for publishing this book in low-cost paper form - if you would be interested in using such a book for a course you teach, please let me know. Either way, the electronic version will remain freely available online.