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  • Random variables

    This site gives an explanation, a definition and an example of random variables including discrete and continuous. It also defines a density curve.

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  • The Binomial Distribution

    This site gives an explanation of, an example of, and a definition for binomial distributions including counts, proportions, and normal approximation.

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  • Sample Means

    This site gives an explanation of, a definition for and an example of sample means. Topics include mean, variance, distribution, and the Central Limit Theorem.

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  • Confidence Intervals

    This site gives an explanation of, a definition for and an example of confidence intervals. It covers topics including inference about population mean and z and t critical values.

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  • Patterns in Nature

    This site provides a collection of applets and their descriptions. Some of the titles include the Monte Carlo Estimation of Pi, Can You Beat Randomness?, One-Dimensional Random Walk, Two-Dimensional Random Walk, The Anthill and Molecular Motion, Diffusion Limited Aggregation, The Self-Avoiding Walk, Fractal Coastlines, and Forest Fires and Percolation.

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  • Sampling Methods

    This site briefly defines several different types of sampling methods, contrasts probability and nonprobability sampling, and discusses target population. Part of a tutorial on questionnaire and survey design.

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  • The One-Dimensional Random Walk

    This is the description and instructions for the One-Dimensional Random Walk applet. This Applet relates random coin-flipping to random motion. It strives to show that randomness (coin-flipping) leads to some sort of predictable outcome (the bell-shaped curve).

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  • Design of Experiments, QC and Taguchi Methods

    Discusses the benefits of Taguchi methods applied to engineering.

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  • The Two-Dimensional Random Walk

    This is the description and instructions for the Two-Dimensional Random Walk applet. This Applet relates random coin-flipping to random motion but in more than one direction (dimension). It covers mean squared distance in the discussion.

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  • The Normal Distribution and Density

    The user is be able to change the mean and the standard deviation using the sliders and see the density change graphically. The check buttons (68, 95, 99) will help one realize the appropriate percentages of the area under the curve. An example of thiis "68-95-99.7" rule follows.

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