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  • Dataset: Rock Fries Your Brains

    This exercise uses descriptive statistics to analyze a data set about how rats respond to rock music vs. classical music.

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  • The Statistics of Hiring

    This short article discusses how the comparative ratios of the tails of normal distributions can result in bias in hiring practices. It contains a link to an applet that shows the comparative tail probability ratios.

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  • Can a difference be important if it is not significant?

    This short article discusses the difference between "important" and "statistically significant." The data used come from a study comparing male faculty salaries to female faculty salaries.

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  • Multiple Comparisons

    This exercise includes a discussion on comparing data with very different sample sizes and nonhomogeneity of variance. The data comes from a study on the behavior of pregnant women with regard to cigarette smoking.

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  • Bootstrapping

    This lesson describes bootstrapping in the context of a statistics class for psychology students.

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  • What are outliers in the data?

    This excerpt from Engineering Statistics Handbook gives a definition for and examples of outliers. A sub-page also discusses Grubbs' Test for Outliers

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  • Outliers

    A short discussion of what outliers are and their helpfulness in analyzing data.

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  • **Type I and Type II Errors - Making Mistakes in the Justice System

    This webpage uses the criminal trials in the US Justice system to illustrate hypothesis testing, type I error, and type II error. An applet allows the user to examine the probability of type I errors and type II errors under various conditions. An applet allows users to visualize p-values and the power of a test. Keywords: type I error, type II error, type one error, type two error, type 1 error, type 2 error

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  • Selective Attention: Gorilla Video

    This video is an example of what is known in psychology as selective attention. When a person is instructed to only focus on the number of times a ball is passed between players wearing a white shirt it is sometimes difficult to see what else is going on.

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  • The Probability of Penalizing the Innocent Due to Bad Test Results

    This is an example of "growing" a decision tree to analyze two possible outcomes. The tree's branches examine the two possible conditions of employee drug use with corresponding probabilities. This example looks at the final outcome probabilities of being correctly and incorrectly identified versus testing accuracy.

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