In terms of the practical methods, the book covers a reasonable curriculum for first-year students of theoretical statistics as well as for engineering students. These groups will eventually need to go further and study more complex models as well as general techniques involving actual programming in the R language.
For fields where elementary statistics is taught mainly as a tool, the book goes somewhat further than what is commonly taught at the undergraduate level. Multiple regression methods or analysis of multifactorial experiments are rarely taught at that level but may quickly become essential for practical research. I have collected the simpler methods near the beginning to make the book readable also at the elementary level.

(之前看过的一本书，包括了R在很多常用的统计分析的应用，很实用，用来学习和当作工具书都可以，论坛上目前还没有，分享给大家）