Resource Library

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.

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 calculate the correlation between the ratio of doctors to people and the average lifespan for 40 countries. The dataset contains the name of the country, the number of citizens per doctor, and the average female lifespan (in years). Questions about the exercise and a link to Excel instructions are given. The data exist in Excel data format and text format.

In this activity, students will calculate the correlation between GPA and SAT scores on 1000 students. The dataset contains high school GPA, college GPA, and SAT score for each student. Questions about the exercise and a link to Excel instructions are given. The data exist in Excel and text formats.

In this activity, students will perform a t-test to see if fecal coliform counts collected from Blackwater Creek in Lynchburg, Virginia differ before and after rain showers. Questions about the exercise and links to Excel and TI-83 instructions are given. The data exist in Excel, TI-83, and text formats.

The Journal of Statistics Education has published this collection of datasets and related articles describing their use, submitted by faculty members from numerous institutions. Data is in .dat format.

This module contains discussions on two and three dimensional graphs, histograms, scatterplots, boxplots, and data visualization, and provides links to a variety of relevant activities.

This module contains discussions on t-test, ANOVA, correlation, two-way factorial ANOVA, regression, chi-squared, and distributions and provides links to a variety of activities relevant to the discussions.

This interactive tutorial on Linear Regression helps the user understand the definition of linear regression, understand the meaning of correlation, use scatter plots, recognize and calculate errors in linear regression, use simple linear regression analysis, use residual analysis of the regression equation, understand the significance of the correlation coefficient and the regression coefficient in linear regression, and solve exercise problems using linear regression.

This tutorial on Multiple Regression helps students understand the definition, use the standard error of estimate, use rank correlation, and solve exercise problems using multiple regression.