Motulsky's Intuitive Biostatistics - this one goes over all the usual methods used in science from distributions to t-test to ANOVA to regressions etc., the basics, but doesn't introduce the maths (you use R for that) but the assumptions and pitfalls of all of those methods.
Statistics Done Wrong: The Woefully Complete Guide - this is all the stuff that's going wrong in applied statistics, a bit short but enlightening
Discovering Statistics Using R - a whopper of a book (~1000 pages?), it goes through everything while also being funny (the constant humor may not be for everyone). Graphs, correlations, regressions, all the MLMs and GLMs, linear models etc. pp., their assumptions, how to run them in R, how to interpret R's sometimes annoying output, etc. pp. Like Motulsky's, but wayyyyy more in-depth on the language's specifics.
Naked Statistics - an intro to stats for laypeople with a focus on politics/economics, good for interpreting and assessing daily news
