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  • Impact!

    This is an exercise in interpreting data that is generated by a phenomenon that causes the data to become biased. You are presented with the end product of this series of events. The craters occur in size classes that are color-coded. After generating the series of impacts, it becomes your assigned task to figure out how many impact craters correspond to each of the size class categories.

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  • The Marble Game

    The Marble Game is a "concept model" demonstrating how a binomial distribution evolves from the occurence of a large number of dichotomous events. The more events (marble bounces) that occur, the smoother the distribution becomes.

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  • Distributions

    This online, interactive lesson on distributions provides examples, exercises, and applets which explore the basic types of probability distributions and the ways distributions can be defined using density functions, distribution functions, and quantile functions.

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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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  • 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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  • Design of Experiments, QC and Taguchi Methods

    Discusses the benefits of Taguchi methods applied to engineering.

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  • **Markov Chains

    Discusses Markov chains, transition probabilities, and the transition probability matrix.

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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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  • Statistical Engineering

    A good resource for problems in statistics in engineering. Contains some applets, and good textual examples related to engineering. Some topics include Monte Carlo method, Central Limit Theorem, Risk, Logistic Regression, Generalized Linear .Models, and Confidence.

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  • Statistics Canada

    The function of this site is to collect, compile, analyse, abstract and publish statistical information relating to the commercial, industrial, financial, social, economic and general activities and condition of the people.

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