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.
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 self-test provides a review/assessment of the Probability section of this module. At the bottom, there is a grading button to rate the users' understanding of the material.
This case study aims to answer the question, "How does one select employees to perform physically demanding jobs?" It examines the relationship between isometric strength tests and job performance for 147 workers. Concepts: correlation, linear regression, multiple regression.
