This applet from Statistical Java allows the user to generate bivariate data for analysis with simple linear regression. The page describes the equations used to generate the data and estimate the regression lines. Users manipulate data generated and create their own line of best fit to try and match the computer generated regression line.
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The two worksheets enable instructors to demonstrate how changes in the magnitude of the treatment effects and of the standard deviation of the error term will impact significance in a One-Way ANOVA model. The user specifies three input values that influence the simulation of random observations. ANOVA calculations are provided for the student, leaving the focus on the interpretation of the...

This is the description and instructions for the Can You Beat Randomness?- The Lottery Game applet. It is a simulation of flipping coins. Students are asked to make conjectures about randomness and how certain strategies affect randomness. It strives to show the "growth of order out of randomness."

This applet demonstrates the central limit theorem using simulated dice-rolling experiments. This experiment is performed repeatedly and outcomes are recorded and plotted in the form of a histogram. An article describing this applet and an alternate source for the applet can be found at http://www.amstat.org/publications/jse/v6n3/applets/clt.html.

This is a collection of cases to demonstrate concepts of inferential statistics. Many materials are flash based, which is specifically interesting for young and beginning learners. This resource provides a simple introduction to probability and to Type I and II errors.