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Useful Online Resources




As part of CMU's Online Learning Initiative this interactive online course introduces students to the basic concepts and logic of statistical reasoning and gives the students introductory-level practical ability to choose, generate, and properly interpret appropriate descriptive and inferential methods. In addition, the course helps students gain an appreciation for the diverse applications of statistics and its relevance to their lives and fields of study.

Khan Academy Statistics & Probability online course
Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. In this course students learn statistics and probability—everything you want to know about descriptive and inferential statistics.

Brooklyn College Librarian Lee Ann Fullington compiled list of useful mathematical tools and calculators available online.

Remember the movie Moneyball? If you have not yet seen it, it is basically a beautiful "mashup" of baseball and statistics. ;)  This site teaches you how to compute the probabilities the way they did it in the movie - and the way it is done all the time in the real world of sports today.

This open textbook explores the basic ideas behind statistics, such as populations, samples, the difference between data and information, and most importantly sampling distributions. The author covers topics including descriptive statistics and frequency distributions, normal and t-distributions, hypothesis testing, t-tests, f-tests, analysis of variance, non-parametric tests, and regression basics. Using real-world examples throughout the text, the author hopes to help students understand how statistics works, not just how to "get the right number."

Updated: March 26th, 2017. This textbook is available under a Creative Commons license.
The authors hope readers will take away three ideas from this book in addition to forming a foundation of statistical thinking and methods. Statistics is an applied field with a wide range of practical applications. You don’t have to be a math guru to learn from real, interesting data. Data are messy, and statistical tools are imperfect. But, when you understand the strengths and weaknesses of these tools, you can use them to learn about the real world.

Statistics and baseball, like rice and beans, belong together.

City University of New York's students and faculty's central location for information about mathematics and resources that CUNY and the Internet have to offer.

CUNYMath Blog
CUNYMath exists to provide students and faculty in the City University of New York with a central location for information about mathematics and resources that CUNY and the Internet have to offer. Use the menu to find resources about mathematics, math departments, registration, assessment tests, departmental syllabi and more.

University of Colorado Boulder's PhET Interactive Simulations PLINKO game
Free interactive math simulation. PhET sims are based on extensive education research and engage students through an intuitive, game-like environment where students learn through exploration and discovery. Drop balls through a triangular grid of pegs and see them accumulate in containers. Switch to a histogram (Lab) view and compare the distribution of balls to an ideal binomial distribution. Adjust the binary probability and develop your knowledge of statistics!



University of Colorado Boulder's PhET Interactive Simulations ESTIMATION game
Explore size estimation in one, two and three dimensions! Multiple levels of difficulty allow for progressive skill improvement.