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ME Module

How Can Engineering Probability Help to Achieve Sustainability?  (for introductory experimental methods or statistics course)

Designing for sustainability requires information on the impacts of the relevant activities, which translates to the need for data that enables measureable outcomes. Given the variety of outcomes that may be employed to quantify “sustainability,” the proposed module will ask teams to discuss the relevance of different data sets. For example, a team might consider the energy efficiency of a house. This depends on many factors, including location, building construction, insulation. If we wanted to specifically study the impact of a different color roof (e.g., light vs. dark), and we have a two-story house in Texas with a dark roof and a ranch house in Oregon with a light roof, then one could do a two-sample t-test to compare their electricity usage. The team would present to the class their arguments for how to collect appropriate data.

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Postal address
Electrical Engineering Department
        University of Texas at Arlington
P.O. Box 23016
        Arlington, TX 76019
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Last modified: 02/03/10