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  • DAU StatRefresher: Clustering Algorithms

    This interactive module helps students to understand the definition of and uses for clustering algorithms. Students will learn to categorize the types of clustering algorithms, to use the minimal spanning tree and the k-means clustering algorithm, and to solve exercise problems using clustering algorithms.

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  • Data+Applet : Regression by Eye

    In this demonstration a scatterplot is displayed and you draw in a regression line by hand. You can then compare your line to the best least squares fit. You can also try to guess the value of Pearson's correlation coefficient.

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  • DAU StatRefresher: Final Test

    This module is a short quiz which gives a review/assessment of the main concepts for this refresher course. At the bottom, there is a grading button to rate the understanding of the material.

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  • Data+Applet: Restriction of Range

    This applet shows how the correlation between two variables is affected by the range of the variable plotted on the X-axis.

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  • A "Small" Effect Size Can Make a Large Difference

    This applet demonstrates that even a "small" effect can be important under some circumstances. Applicants from two groups apply for a job. The user manipulates the mean and the cut-off score in order to see the effects the small changes has on the number of people hired in each group. The effects on the proportion of hired applicants from each group are displayed.(Requires a browser that supports Java).

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  • Chi Square Test of Deviations from Expected Frequencies

    The applet allows users to sample from a normal distribution or from a uniform distribution. It shows the expected values and the observed values and computes the deviation. Then, a chi-square test shows if the deviations are significant for both the normal and uniform distributions.

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  • 2 x 2 Contingency Tables

    This applet simulates experiments using 2 x 2 contingency tables. You specify the population proportions and the sample size and examine the effects on the probability of rejecting the null hypothesis.

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  • Dataset Example: Reliability and Regression Analysis

    This applet demonstrates how the reliability of X and Y affect various aspects of the regression of Y on X.

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  • Histograms, Bin Widths, and Cross Validation

    This applet demonstrates how a histogram is affected by bin width and starting point of first bin. It also illustrates cross-validation criterion for assessing histograms.

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  • Regression to the Mean

    This is a simulation illustrating the regression toward the mean phenomenon.

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