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Statistical Inference and Techniques -- Significance Testing Principles -- Effect Size

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View Resource ** Histograms on Anova

This simulation applet is designed to demonstrate the sampling distributions of the F statistic, Mean Square Error (MSE), and Mean Square Treatment (MSTR) for one-way Analysis of Variance (ANOVA). Users determine the mean and size for six factor levels as well as the overall standard deviation and number of samples under 'Change Settings'. By clicking 'Step', 'Walk', or 'Run', users can simulate...

http://ucs.kuleuven.be/java/version2.0/Applet025.html
View Resource **Maximum Likelihood

This material introduces the basic theory of maximum likelihood estimation by discussing the likelihood function, the log likelihood function, and maximizing these functions using calculus. Several exercises ask students to derive certain estimators, while others have students compare the behavior of those estimators with other possibilities through the use of various JAVA applets. The applets...

http://www.math.uah.edu/stat/point/Likelihood.xhtml
View Resource **One-way ANOVA Demonstration

Tutorial on the ANOVA test in statistics and probability, with a description, formulas, example, and a calculator applet. This is part of the larger site Virtual Statistician at http://web.mst.edu/~psyworld/virtualstat.htm

http://web.mst.edu/~psyworld/anovadescribe.htm
View Resource **Reese's Pieces Samples

This applet simulates drawing samples of Reese's Pieces from a candy machine. Users set the sample size, number of samples, and theta, the population proportion of orange pieces. The applet keeps track of each sample and displays a dotplot of the sample proportion of orange pieces. Users can also count the number of samples below, above, or between two proportions and superimpose the normal...

http://www.rossmanchance.com/applets/Reeses/ReesesPieces.htm...
View Resource **Regression

Regression contains three applets on linear, quadratic and exponential regression. Each allows the user to investigate the relationship between the scatter plot of entered data and the regression equation.

http://science.kennesaw.edu/~plaval/tools/regression.html
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