Open Educational Resources (OER): Statistics

This subset of the MERLOT collection features openly licensed textbooks for use by students and faculty.

The Open Textbook Library is a collection of open textbooks that features reviews written by professors.

The College Open Textbooks Collaborative is focused on driving awareness and adoptions of open textbooks to more than 2000 community and other two-year colleges.

The B.C. Open Textbook Project is funded by the BC Ministry of Advanced Education to provide flexible and affordable access to higher education resources.

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.

Statistics is an applied field with a wide range of practical applications which a student does not have to be a math expert to understand even when using real, interesting data.

This book is an introduction to combinatorial mathematics, also known as combinatorics. The book focuses especially but not exclusively on the part of combinatorics that mathematicians refer to as “counting.”

Online Statistics: An Interactive Multimedia Course of Study is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations.

Think Bayes is an introduction to Bayesian statistics using computational methods.

Think Stats is an introduction to Probability and Statistics for Python programmers. If you have basic skills in Python, you can use them to learn concepts in probability and statistics and practical skills for working with data.

FlowingData explores how designers, statisticians, and computer scientists are using data to understand ourselves better — mainly through data visualization.

This collection features multiple videos on each of the following topics: independent and dependent events, probability and combinatorics, descriptive statistics, random variables and probability distributions, regression, and inferential statistics.

MIT OpenCourseware offers a variety of statistics courses ranging from mathematical statistics to biological statistics.