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  • **Can You Beat Randomness: The Lottery Game

    This is the description and instructions for the Can You Beat Randomness?- The Lottery Game applet. It is a simulation of flipping coins. Students are asked to make conjectures about randomness and how certain strategies affect randomness. It strives to show the "growth of order out of randomness."

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  • Picking Fortune Cookies

    This applet is a probabilistic study of picking fortunes from a limited supply of fortune cookies. The student will try to answer how many cookies he/she has to eat to have a 50/50 chance of reading all the fortunes.

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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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  • Collecting Prizes from Cereal Boxes

    This applet is a probabilistic study of picking prizes from an unlimited supply of cereal boxes. The applet helps to answer how many boxes of cereal need to be purchased to have a 50/50 chance of getting all the prizes.

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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 Anthill and Molecular Motion

    This is the description and instructions for the the Anthill and Molecular Motion applet. Topics include mixing, diffusion, and contour plots.

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  • Choosing an experimental design (Engineering Statistics Handbook)

    This section of the Engineering Statistics Handbook describes in detail the process of choosing an experimental design to obtain the results you need. The basic designs an engineer needs to know about are described in detail.

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  • GAISE Draft Report

    The GAISE project was funded by a Strategic Initiative Grant from ASA in 2003 to develop ASA-endorsed guidelines for assessment and instruction in statistics in the K-12 curriculum and for the introductory college statistics course.

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  • STATISTICS FOR MOLECULAR BIOLOGY AND BIOINFORMATICS

    A computer intensive introductory course for graduate students. A veritable online course with Powerpoint and Excel downloadable files for viewing. Also provides related outside links for further investigation on related topics.

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  • Markov Chains

    Develops the idea of the transition matrix and what it can tell you.

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