The goal of this project is to provide free, high quality, interactive, web-based resources for students and teachers of probability and statistics. Basically, our project consists of an integrated set of components that includes expository text, applets, data sets, biographical sketches, and an object library. Please read the Introduction for more information about the content, structure, mathematical prerequisites, technologies, and organization of the project.
Display of mathematical notation is handled by the open source MathJax project. The display will be best if you have the STIX fonts installed on your computer. The MathJax site has instructions on installing the fonts for various operating systems.
The sections in the main chapters that make up the expository text in this project are available in PDF format. You can download and save these for printing or for viewing without an internet connection. However, the interactive features (hyperlinks, applets and other ancillary components) are not functional.
This project was partially supported by a two grants from the Course and Curriculum Development Program of the National Science Foundation (award numbers DUE-9652870 and DUE-0089377). This project is also partially supported by the University of Alabama in Huntsville. This project is a partner in the Mathematics Digital Library (MathDL), which is part of the National Science Digital Library (NSDL). MathDL is supported by the National Science Foundation and the Mathematical Association of America. Please see the support and credits page for additional information.
This work is licensed under a Creative Commons License. Basically, you are free to copy, distribute, and display this work, to make derivative works, and to make commercial use of the work. However you must give proper attribution and provide a link to the home site: http://www.math.uah.edu/stat/. Click on the Creative Commons link above for more information.
Mathematics ... is indispensable as an intellectual technique. In many subjects, to think at all is to think like a mathematician.--Robert M. Hutchins, The Learning Society