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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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  • Construct Validity in Psychological Tests

    A paper discussing the development of construct validity as applied to psychological studies.

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  • Hypothesis Testing

    The seventh chapter of an online Introduction to Biostatistics course. Two sets of lecture notes are provided (only the first one works). Additionally, links for additional reading and exercises with solutions are provided.

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  • Summarizing Data

    The first chapter of an online Introduction to Biostatistics course. Two lecture notes and a set of overheads are provided. Additionally, links for additional reading and exercises with solutions are provided.

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  • Regression/Correlation

    The ninth chapter of an online Introduction to Biostatistics course. Lecture notes and links for futher reading are provided.

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  • Introduction to Biostatistics

    An online Introduction to Biostatistics course complete with lecture notes and links for futher reading, links to applets, and exercises with solutions given.

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  • Student's T Distribution

    The larger the degrees of freedom, the closer the t-density is to the normal density. This reflects the fact that the standard deviation s approaches for large sample size n. You can visualize this in the given applet by moving the sliders.

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  • What is a Survey?

    A series of pamphlets place online by the American Statistical Association, Survey Research Methods Section. Each pamphlet deals with a different aspect of survey research and how it is done.

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  • Probability Sampling

    This website lists five different types of probability sampling, giving the advantages and disadvantages of each.

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  • Meta-analysis of Observational Studies in Epidemiology

    This article addresses the reporting of meta-analyses of observational studies in order to aid authors, reviewers, editors and readers when reading or writing such reports.

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