Resource Library

In this activity, students will perform an ANOVA to determine if the longevity of male fruitflies is related to their reproductive cycle. The dataset contains longevity (in days) of male fruitflies in 5 groups: Alone, 1 Interested Female, 8 Interested Females, 1 Uninterested Female, 8 Uninterested Females. Questions about the exercise and links to Excel and TI-83 instructions are given. The data exist in Excel, TI-83, and text formats.

In this activity, students will calculate the correlation between college enrollment at University of New Mexico and unemployment data in the state of New Mexico. They will also generate a scatterplot of the data. Questions about the exercise and links to Excel and TI-83 instructions are given. The data exist in Excel, TI-83, and text formats.

In this activity, students will perform a one sample t-test to see if the pH level of rain collected by the EPA is less than the pH standard for acid rain (5.6). Questions about the exercise and links to a t-test applet and TI-83 instructions are given. The data exist in Excel, TI-83, and text formats.

In this activity, students will calculate the correlation and generate a scatterplot of the number of passengers flying and the number of performed departures from 135 airports in the US. Questions about the exercise and links to Excel and TI-83 instructions are given. The data exist in Excel, TI-83, and text formats.

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

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.

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

This simulation shows recorded response times on a simple motor task under two conditions. Various statistics and graphs used to compare the distributions are presented.

This simulation illustrates types of sums of squares in a 2 x 3 ANOVA.

This applet lets you explore the effect of violations of the assumptions of normality and homogeneity of variance on the type I error rate and power of t tests (and two-group analysis of variance).