This site aims "to provide free, high quality, interactive, web-based resources for students and teachers of probability and statistics" It covers probability, statistics and "special models" such as finite sampling models and the Poisson process - they are presented here with text and interactive Java tutorials. Each page suggests mathematical exercises and simulation exercises, with some external links. The site requires the Mozilla Firefox browser (version 1.5 or later), with the MathML fonts installed, and with the Java plug-in (version 1.5 or later).
Interactive Tutorials in Statistics for Economists
This is a complete Java-based tutorial in introductory statistics, which can be used online or downloaded for offline use. It exposes the students to many data sets and uses interactive graphs which the student can alter by sliding controls. You must register to use this site.
This is an open online course, available freely to independent learners but with a fee for students. The course makes much use of online text, diagrams and interactive assignments. It is comprised of four units: Exploratory Data Analysis, Producing Data, Probability and Inference. These are subdivided into a total of twelve modules and more than two hundred "pages" of material.
This is an open online course, available freely to independent learners but with a fee for students who want feedback from an instructor. The course makes much use of online text, diagrams and interactive assignments. It is comprised of four units: Exploratory Data Analysis, Producing Data, Probability and Inference. These are subdivided into a total of twelve modules and more than two hundred "pages" of material. It is similar to the companion course on Statistical Reasoning, but with a more classical treatment of probability.
An interactive tutorial combining graphs, text and interactive features. Twenty-five units cover topics from rounding and central tendency up to regression lines and Chi squared tests
This is a set of online tools for performing statistical tests, generating random data or exact distributions, along with links to short explanations of statistical topics.
Interactive graph with six points that can be dragged with the mouse. A linear regression automatically updates, with the line drawn on the graph and the parameters shown numerically.
Regular feature of the New York Times site that combines data visualisation with online discussion. Each column shows a graph, usually with animation or interaction. Students are invited to leave a comment saying 1) what they notice in the graph, 2) what the graph makes them wonder, and 3) how they would sum up the message of the graph in a catchy headline. Comments can be viewed through the little speech-bubble icon at the top right of the text.
Lecture slides, practice exams and online tutorials in R from a course in "how to learn from data and understand uncertainty using the ideas of probability theory and statistics" given in 2019