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 One-Way ANOVA This applet demonstrates the partitioning of sums of squares in analysis of variance (ANOVA). It includes some sample values and allows the user to make adjustments, which then shows the new values in the ANOVA table. Also contains an exercise set. Overall, this is a nice resource for any mathematics classroom. http://www.ruf.rice.edu/~lane/stat_sim/one_way/index.html
 Understanding ANOVA Visually Visual ANOVA is a program, created by Professor Tom Mallory of the University of Utah, that puts the theory on ANOVA into a simple visual whole. It assumes that you've read the instruction, but even if your understanding is incomplete at this time, it is worth playing with Visual ANOVA since that may clear up the big picture for you. http://www.psych.utah.edu/stat/introstats/anovaflash.html
 The Central Limit Theorem The applets in this section of Statistical Java allow you to see how the Central Limit Theorem works. The main page gives the characteristics of five non-normal distributions (Bernoulli, Poisson, Exponential, U-shaped, and Uniform). Users then select one of the distributions and change the sample size to see how the distribution of the sample mean approaches normality. Users can also change the... https://www.causeweb.org/repository/statjava/CLT.html
 Sampling Distributions This applet simulates and plots the sampling distribution of various statistics (i.e. mean, standard deviation, variance). The applet allows the user to specify the population distribution, sample size, and statistic. An animated sample from the population is shown and the statistic is plotted. This can be repeated to produce the sampling distribution of the statistic. After the sampling... http://www.ruf.rice.edu/~lane/stat_sim/sampling_dist/index.h...
 Excel For Statistical Data Analysis The site, created by Dr. Hossein Arsham of the University of Baltimore, provides an introduction to understand the basics of and working with Excel. Redoing the illustrated numerical examples in this site will help in improving your familiarity, and as a result, increase the effectiveness and efficiency of your process in statistics. http://home.ubalt.edu/ntsbarsh/excel/excel.htm
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