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. This resource features interactive demonstrations and simulations, case studies, and an analysis lab.

This work is in the public domain. Therefore, it can be copied and reproduced without limitation. However, we would appreciate a citation where possible. Please cite as: Online Statistics Education: A Multimedia Course of Study (http://onlinestatbook.com/). Project Leader: David M. Lane, Rice University.

If you are an instructor using these materials in a class we would appreciate hearing from you. Please email

We are currently working on an updated version of the site. Although it is not finished we recommend the new version over Version 1.0

OnlineStatBook Version 1.0
The original site. If you have been using this site you can rest assured that all the pages are still there and nothing has been changed.

Version 2.0 (recommended although still in beta)
This version has higher production value, more chapters (some in development), and rewritten interactive questions. The interactive questions no longer require Java and therefore work with iOS devices such as iPhone and iPad. The simulations still require Java. We are working to convert the videos to .mp4 format so they also will work with iOS. Many videos have not yet been converted.

Mobile (in beta)
This version uses formatting that works better for mobile devices.

Rice Virtual Lab in Statistics
This is the original classic with all the original simulations and case studies.

Version in PDF (not complete)

e-Pub (e-book, not complete)

David Lane is the principal developer of this resource although many others have made substantial contributions. This site was developed at Rice University, University of Houston-Clear Lake, Tufts University, and University of Houston-Downtown.

Contributors
Evan Brott Katie Bruton Madeline Campbell Patrick Connell Rudy Guerra Daniel Hatfield Mikki Hebl W. Sloane Hoyle Jo Jardina David Lane Joan Lu	Daniel Osherson Lauren Pemberton Camille Peres Anikó Sándor David Scott Alex Shabad Zhihua Tang Senastian Thomas Katherine Vasser Heidi Ziemer Emily Zitek
	Partial support for this work was provided by the National Science Foundation's Division of Undergraduate Education through grants DUE-9751307, DUE-0089435, and DUE-0919818. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
	2007 Merlot Classic Award in Statistics for the Sampling Distribution Simulation
	The Math Forum @ Drexel maintains an Internet Mathematics Library chose this site to feature as their Hot Spot for the month of October, 2008.