Focuses on detailed instruction in a single statistical technique, simple linear regression (SLR), with the goal of gaining tools, understanding, and intuition that can be applied to other contexts.

This book will help those wishing to teach a course in technical writing, or who wish to write themselves.

Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills. This is an adaptation of Introductory Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.

The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.

This authoritative book has supported thousands of distance learners, providing accessible support and friendly advice for their studies. This essential guide provides practical help for anyone who is embarking on a distance learning course. Ideal for those who have not previously studied at a distance or for students returning to study after a break, it covers fundamental issues such as motivation, goal-setting, time management and coping strategies. The fourth edition includes: • How to understand the distance learning experience and what your institution expects of its distance learners • The practicalities of learning at a distance, including how to get support when you need it • Updated information on the use of new technologies in distance learning, including mobile learning • Tips and advice on doing a research project at a distance • Coverage of key study skills including reading and note-making, completing written assignments, developing critical analysis skills and avoiding plagiarism • Support for international students in understanding how to make the most of studying remotely at a UK Higher Education institution Hallmark features of this book are the comments and advice offered by students and tutors sharing their own experiences of distance learning. It also includes comprehensive self-study activities that highlight the element of active learning that is crucial to successful studying at a distance. Studying at a Distance, 4th edition is a key resource for undergraduates and postgraduates in all open and distance learning or e-learning courses.