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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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  • Building a Probability Tree Applet

    This applet simulates a probability tree diagram. Step 1: Click inside the appropriate box on the desired level to build the tree. Step 2: Click on "Set Probabilities" at the top. Step 3. When you enter the respective probabilities, you must hit the ENTER key after each one. Step 4: Once all of the probabilities have been set (they should be blue), click "Final Tree" Step 5: Click "Simulation".

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  • The One-Sample t Test

    This section on Common Statistical Tests uses an example on faculty publications to show users how to perform a one-sample t test. The discussion includes one-tailed and two-tailed tests.

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  • Likelihood Ratio Test

    This site focuses on using the LRT to compare two competing models.

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  • Log-likelihood ratio

    This site offers an involved definition of the likelihood ratio test with examples and formulas.

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  • Kruskal-Wallis "Analysis of Variance" by Ranks

    Explains how to set up the Kruskal-Wallis test and gives the formula for the test statistic.

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  • The Beta Distribution

    This applet allows the user to adjust a (1st shape) and b (2nd shape) parmaters of the Beta distribution with a slider or manual input. The applet allows the user to fix the x and or y axes. The user immediately sees how this affects the the shape of the graph as well as the variance and the expected value. This page was formerly located at http://www.stat.vt.edu/~sundar/java/applets/BetaDensityApplet.html

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  • Chi Square Tests

    The eighth chapter of an online Introduction to Biostatistics course. Lecture notes are provided. Additionally, links for additional reading and exercises with solutions are provided.

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  • Spearman's rho

    Gives a very brief explanation of Spearman' rho and how it differs from Pearson's r.

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