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Write a few sentences to describe your reasoning process in determining your answer. Does your answer depend on an exact or an estimate for the average number of hours of daylight? If your average number of hours is an estimate, explain whether it is too high or too low. Explain how you accounted for the fact that 7 months have 31 days, 4 have 30 days, and 1 has 29 days in determining that your estimate was too high or too low. [3] House Lot(This is a small group project that illustrates a type of problem that a surveyor in a zoning office may confront.) In many communities, Zoning Boards have established building lot restrictions to limit over-crowding, to limit urban sprawl, to preserve the "nature of the community," etc. The existence of zoning regulations often present potential home owners, surveyors, and draftsmen with problems similar to the following one presented by Bill Schoppee, a surveyor. Problem. Jan is interested in having her dream house built on a triangular shaped lot which contains some wetlands. The lot is bounded by a (straight) road on one side, a property line running perpendicular to the road on the other side, and a stream along the diagonal side of the triangle. When placed on a grid, the vertices of the lot have coordinates (0,100), (0, -170), and (300,100). Wetlands intrude into the property along the side of the perpendicular to the road. The boundary of the wetlands inside the triangular property forms an arc of a circle. The points (0,94.5), (80.5 42.5), and (0, -99.5) lie on this arc. The following zoning regulations must be met before a building permit can be issued.
If the footprint of Jan's dream house is 60 feet by 30 feet, will she be able to receive a building permit? Clearly explain your reasoning. If Jan can receive a building permit, describe a possible location for her house. [4] Municipal Solid Waste(This article provides suggestions for class activities and for small group projects. More information can be obtained from the website http: //www.epa.gov/epaoswer/non-hw/muncpl/timeline.htm.) Municipal Solid Waste (MSW) more connomly known as trash or garbage consists of everyday items such as product packaging, grass clippings, furniture, clothing, bottles, food scraps, newspapers, appliances, paint, and batteries. Management of waste has become a major problem for small towns to large cities to the national government. The questions not only involve the amounts, which are staggering, but also methods of disposal. For example, how to safely dispose of electrical and electronic equipment or spent nuclear fuel rods? The following table shows the increase in MSW over the last forty years measured in millions of tons and the increase in per capita waste measured in pounds per person.
Plot this data (two plots), fit a curve to each plot, and then predict the MSW and per capita waste in 2010. Explain how you interpret the small increase in per capita waste during the 1990s. Use a pie chart to show the distribution of the 231.9 million tons of MSW generated in 2000 given the following data.
Three major waste management practices have been introduced over the past few years to reduce or treat waste. (1) Source reduction involves design and manufacturing alterations to reduce the amount and toxicity of waste (e.g., two-sided copying, improved transport packing); (2) Recycling that diverts many items such as paper, glass, plastics, and metals from the wastestream; (3) Composting of food waste and yard trimmings to form a humus-like substance. The following table shows the growth of recycling and composting. (The 1950 entries in the following table are estimates to accompany the 1960-1990 data from the Environmental Protection Agency (EPA). Data on composting dates to 1990.) Material Recycling and Composting
Percent of Total Waster Generation
Complete the following tasks: a. Develop two models (polynomial and exponential) for the Total Recovery data. b. Discuss which is the better model (do more than just noting the R2 values). c. Predict the percentage of waste composted, recycled, and totally recovered in 2010. d. Form an exponential regression for Total Recovery when the Year data is entered as 0, 10, 20, 30, 40, 45, 48, 49, 50. Then shift the resulting regression given formula 1950 units to the right. Compare the result to the regression formula obtained when the year data is entered as 1950, 1960, 1970, . . . . Comment on the comparison. Visit our website:www.ContemporaryCollegeAlgebra.org [5] Notices
* Supported by the National Science Foundation and the U.S. Military Academy. |
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