Welcome to WISE!
Our goal is to provide students and teachers of statistics easy access to a wide range of
resources that are freely available on the Internet. We invite you to explore our website and
enjoy many wonderful statistics materials from around the world.
A special feature of WISE is the sequence of interactive tutorials on key statistical
concepts (sampling distributions, the central limit theorem, hypothesis testing, and statistical
power). The tutorials use dynamic applets that allow the user to explore relationships on their
own. Guided exercises are designed to help the learner to take full advantage of the applets to
gain a deeper understanding of the concepts and logic that underlie much of inferential
statistics.
We invite your feedback on WISE. If you find any errors, if you have suggestions for additions
or improvement, or if you find this site useful, we would love to hear from you. Drop us an email
at wise@cgu.edu.
NOTE: If WISE applets are not loading properly, download
and install the latest version of the free Java Runtime Environment.
For more information, refer to our technical
support page. |
CAUSE Webinar Introducing WISE
On October 11, 2011 we gave a CAUSE webinar introducing the WISE site and two of the
interactive applets. You can access this webinar at
Interactive Statistics
Education using WISE tutorials and applets
with Dale Berger, Amanda Saw, Giovanni Sosa, Justin Mary, and Christopher Pentoney.
WISE at USCOTS
At USCOTS (United
States Conference on Teaching Statistics), we
presented on "An Interactive Web-Based Tutorial to Teach
Correct Interpretations of Confidence Intervals."
Amanda and Justin at USCOTS 2011.
Also at USCOTS, we presented preliminary findings from a
meta analysis on the implementation of GAISE (Guidelines
for Assessment and
Instruction in Statistics Education) in
computer-based statistics instruction. Sponsored by the
American Statistical Association, GAISE suggest ways to improve
introductory
statistics courses.
Technology Aids Statistics Instruction!
Our meta-analysis demonstrating the efficacy of computer-aided statistics is now
available: Sosa, G., Berger, D. E., Saw, A. T., & Mary, J. C. (2011). Effectiveness
of computer-assisted instruction in statistics: A meta-analysis. Review of Educational
Research, 81, 97-128.
Read more
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Last updated June 6, 2011
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