This collaboratively built digital textbook for probability and statistics education integrates technology and pedagogical techniques, makes use of materials and instructional resources that are freely accessible over the web, and provides multi-language support (at the bottom of every chapter/section/page one may obtain a machine translation of the content into many languages). Topics include describing, exploring, and comparing data; probability and probability distributions; point and interval estimates; hypothesis testing; correlation and regression; analysis of variance; and others. The text is suitable for a general statistics curriculum, but also includes Advanced Placement materials. The E-Book was initially developed by the UCLA Statistics Online Computational Resource (SOCR), but all statistics instructors, researchers, and educators are encouraged to contribute and improve the content.