Section 4- JAVA Demonstrations

Some of our favorite individual JAVA applets (selected from the sites listed below):

• Guessing Correlations - a neat "game" to show the relationship between correlations and scatterplots - ten minutes should get the ideas across to almost any student. Part of the CUWU Statistical Program at Illinois-Champaign-Urbana.
• Regression - see the effects of adding an outlier (Webster West - S. Carolina).
• Histogram - check the effect of bin size on Old Faithful data (Webster West - S. Carolina).
• Effect of a "Small" Effect - visualization of the impact of a difference in group means on job candidate selection (Mark Lane - Rice).
• Power of a Hypothesis Test - nice graphical look at power for a test of a mean (Todd Ogden - S. Carolina).
• Monty Hall Problem - as implemented at UIUC lets you see how everyone else has done, while the
• Let's Make a Deal version done by Webster West is a bit quicker to play and includes an explanation.
• Sampling Reese's Pieces - a simulated alternative to M&M's

• Globally Accessible Statistical Procedures (GASP) collected at the Univ. of South Carolina.
• Interesting JAVA Applets compiled at Duke University.
• The CUWU Statistics Program by John Marden at Champaign-Urbana Web University.
• Rice Virtual Lab in Statistics developed by David lane and others ar Rice University.
• Virtual Statistics Lab - by Kyle Siegrist at Alabama- Hunstville.
• JAVA Applets by Balasubramanian Narasimhan at Stanford University.
• SurfStat JAVA Applet Hotlist - part of the on-line textbook at University of Newcastle.
• Workshop Statistics Applet Collection - being developed by Beth Chance and Allan Rossman

• Statlets - a multi-featured JAVA-based statistics package, with free WWW access for small datasets (10 variables x 100 cases). Produced by NWP Associates, Inc.
• WebStat - created by Webster West at the University of South Carolina.
• Statiscope - a one page univariate stat pakage done by Mikael Bonnier - Lund, Sweden.

• Some Experimental WWW Pages being developed by Juha Puranen at the Univ. Of Helsknki includes a look at how a scatterplot varies as correlation changes.