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disposal costs. Detailed reference list of vendors that complement recommendations. All waste assessments are provided on a con dential basis and at no cost to businesses residing within Lucas County. Funding for the Project s assessments is provided by a grant from the Lucas County Solid Waste Management District with support from The University of Toledo. Much of the data collected for the cases studies presented in this book were gathered from this research project. Throughout the United States there have been several programs and research studies linking colleges, government agencies, and businesses involved with environmental improvement. This section provides an overview concerning some of these research studies and programs and compares them to the WAMRP. Table 2.3 provides a snapshot comparison between the universitysponsored programs. This includes a study conducted by the National Wildlife Federation titled State of the Campus Environment which critiqued U.S. colleges environmental performance (1), the U.S. Department of Energy s Industrial Assessment Centers (2), Youngtown State University s Industrial Waste Minimization Project (3), Cornell University s Waste Management Institute (4), Indiana University s Institute on Recycling (5), and Iowa State University s Total Assessment Audits (6).

Comparison to similar university projects State of the campus environment (National Wildlife Federation) In 2000,

The goals of this step is to develop the nal models and determine the variables that ef ciently predict solid waste generation for each waste group. The following procedure is used:

Use a thermometer to measure the temperature of the point where the sun s energy is concentrated see what difference it makes if the bulb is covered in tin foil or black paper.

Apply stepwise regression method to the 20 waste groups (data matrices) Remove outliers and recalculate Evaluate the results statistically with: ANOVA F-test (strength of entire models) t-test (strength of each independent variable) Coef cient of determination Validate regression model assumptions Report nal results

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The performance level is less critical than the rate of improvement. Moreover, improvement of 5 or 10 percent is not enough, as no one actually sees that amount of improvement. If, however, the performance improvement is planned at 30 to 60 percent annually, everyone will have to be involved, innovation is required, and the improvement exceeds the measurement system errors. Improvement will be noticeably significant because everyone has participated in bringing it about. In the case of 5 to 10 percent improvement, management may know what to do, but no one else is aware of it or involved. The Six Sigma methodology requires an aggressive rate of improvement in the customer-critical areas.

SSR SSE/(n k 1)

The above procedure was applied to all business groups. The mathematics, statistical tests, and example calculations for the transportation equipment manufacturer s waste group are discussed in the following paragraphs. For the multiple regression equation (Walpole and Myers, Theorem 12.1, 1993): y = X +

= ( yi yi )2

The intensity of the concentrated light might be enough to singe a feather, or even a thin shaving of rubber from a balloon or latex glove. Try shining the beam of light onto a photovoltaic cell connected to a multimeter and load see how it affects the amount of power produced. You might also want to see if you can melt a wax candle using the power of your concentrated light.

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