How well can hand size predict height?

This page is authored by Carl Lee, Central Michigan University, which is one of the activities in the "Real-Time Online Hands-on Activities" at supported by the NSF/CCLI #0310932. The co-director of the project is Felix Famoye, Central Michigan University.
Author Profile

This activity has been undergone anonymous peer review.

This activity was anonymously reviewed by educators with appropriate statistics background according to the CAUSE review criteria for its pedagogic collection.

This page first made public: May 17, 2007

This material is replicated on a number of sites as part of the SERC Pedagogic Service Project


This activity uses student's own data to introduce bivariate relationship using hand size to predict height. Students enter their data through a real-time online database. Data from different classes are stored and accumulated in the database. This real-time database approach speeds up the data gathering process and shifts the data entry and cleansing from instructor to engaging students in the process of data production.

Learning Goals

This activity is designed to help students learn the issues related to data measurement and production, to learn the relationship of two variables. By the end of this activity, students will be able to

Context for Use

Description and Teaching Materials

The detailed description and materials of this activity are located at the site:
Real-Time Hands-on Activities
The following materials are used to introduce the bivariate relationship. One may choose to use a subset of the materials her/his class.

Teaching Notes and Tips

Features about the Real-Time online data collection the instructor should be aware of: Prior to conducting this activity, the instructor needs to: During the session of conducting the group activity, The use of this activity beyond introductory level:


Students are assessed using

References and Resources

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