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Statistical Topic

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  • In this game activity, students match correlation values with plots generated by the applet. Competition in this game setting encourages students to become more involved in the classroom and attainment of learning objectives. This game is best if used in a lab setting, although it may be modified to fit other classroom situations.
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  • 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
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  • This page discusses the proper procedures for multiple comparison tests and reasons behind them.
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  • This tutorial introduces various statistics used to analyze and summarize data. The tutorial covers both the arithmetic and geometric means, median, mode, standard deviation, coefficient of variation, skewness, kurtosis, quadrants, and histrogram analysis. The application is flow cytometry, but others may use this tutorial as well.
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  • This tutorial explains the theory and use of the Spearman's Rank-Difference Correlation Coefficient and demonstrates it with an example on exam scores, homework scores, and project scores. Data is given as well as SPSS and Minitab code.
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  • This tutorial explains the theory and use of the Friedman Two Way ANOVA and demonstrates it with an example on exam scores, homework scores, and project scores. Data is given as well as SPSS and Minitab code.
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  • This tutorial explains the theory and use of One-Way ANOVA and demonstrates it with an example on final exam scores. Data is given as well as SPSS and Minitab code.
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  • This tutorial explains the theory and use of two-way ANOVA and demonstrates it with an example on final exam scores. Data is given as well as SPSS and Minitab code.
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  • This collection of datasets addresses social science issues and is housed at the University of Wisconsin. Free registration is required to access the datasets.
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  • These datasets come from the book "STAT LABS: Mathematical Statistics Through Applications." Below the link for each dataset are descriptions of the variables for that dataset. Datasets are in text format and address topics such as maternal smoking and infant health, video games, radon, cytomegalovirus DNA, HIV, crab molting, voting, snow gauge calibration, down syndrome, and tape drive quality.
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