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The online statistics book OpenIntro () is now available. This is the OpenIntro Mastering OpenIntro () textbook, designed for students who have completed the Introduction to OpenIntro course. The book is part of OpenIntro’s series of project-based tutorials. A lot of the material in this book builds on that of the Introduction to Statistics book. The main difference is that the chapters in this book are about applications of the material rather than the presentation of a concrete statistical process. In this way, we hope to help students to remain focused on their own research using the tools and techniques offered by this book. A lot of the material in this book builds on that of the Introduction to Statistics book. The main difference is that the chapters in this book are about applications of the material rather than the presentation of a concrete statistical process. In this way, we hope to help students to remain focused on their own research using the tools and techniques offered by this book. To the best of our knowledge, no similar material is currently available in the OpenIntro series. The OpenIntro chapters cover a range of basic topics, including a discussion of sampling and estimating population parameters (Chapter 1), basic probability (Chapter 2), logistic regression (Chapter 3), multiple regression (Chapter 4), log-linear models (Chapter 5), likelihood and maximum likelihood approaches (Chapter 6), generalized linear models (Chapter 7), discriminant analysis (Chapter 8), survival analysis (Chapter 9), and frailty models (Chapter 10). The book includes a chapter on contingency tables and the chi-squared test as well as a chapter on testing statistical hypotheses. More advanced applications, such as sampling from complex population structures and survival analysis, are considered in follow-up tutorials which are intended to be run after the student has completed the OpenIntro text. The OpenIntro chapters all include the same set of exercises, case studies, and learning tools: online tutorials, interactive exercises, downloadable lab manual, and quizzes. The interactive exercises are provided for the R version 3.5.0 and RStudio 1.2.1511. The lab manual and interactive tutorial for the OpenIntro chapters are provided for R version 3.5.0 and RStudio 1.2.1511. There is also a companion website providing tutorial videos for the sections of the book not covered in the book. The website is not necessarily designed to be compatible with only R, but will work equally well with any analysis software including those using Jupyter Notebook, RStudio, and platforms such as Python, Julia, and Shiny. In this way, the tutorial videos are available in a format that will allow them to be incorporated into any course on statistics. We hope that students who use the tutorials will send feedback about their experiences. For example, do they work well with their own materials, or will they be better served by having the videos screened by a teaching assistant in the tutorial? The videos are quite long (10 minutes or more) and are made available in HD (720p) and SD (480p) formats, but can be viewed on computers, tablets, smartphones, smart televisions, DVD players, or even some car-audio systems. This is a useful resource in terms of capturing students’ own views or answers from their teaching experiences. It helps to create discussion during class as students can discuss the materials they have seen and how they have interpreted the course material. We hope you find it a useful way to supplement your teaching, or even to take the classroom experience online. We are always open to feedback about the tutorials. The website is designed to be compatible with any R, RStudio, or Python environment. To see a screen shot of the main page of the site, please go to the website.