Turbid water is muddy or cloudy water. Sunlight is necessary for most life forms; thus turbid water is considered a threat to wetland ecosystems. Passive filtration systems are commonly used to reduce turbidity in wetlands. Suspended solids are measured in mg/l. Is there a relation between input and output turbidity for a passive filtration system and, if so, is it statistically significant? At a wetlands environment in Illinois, the inlet and outlet turbidity of a passive filtration system have been measured. A random sample of measurements are shown below. (Reference: EPA Wetland Case Studies.) Use a 1% level of significance to test the claim that there is a monotone relationship (either way) between the ranks of the inlet readings and outlet readings. (a) Rank-order the inlet readings using 1 as the largest data value. Also rank-order the outlet readings using 1 as the largest data value. Then construct a table of ranks to be used for a Spearman rank correlation test. (c) Compute the sample test statistic. (Use 3 decimal places.)   Reading 1 2 3 4 5 6 7 8 9 10 11 12 Inlet (mg/l) 19.8 14.8 64.6 13.4 52.5 48.3 55.5 46.5 67.3 87.5 89.0 50.5 Outlet (mg/l) 4.7 7.9 14.2 7.5 15.0 6.0 13.6 8.2 11.6 17.9 15.6 9.7

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Chapter4: Eigenvalues And Eigenvectors
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Turbid water is muddy or cloudy water. Sunlight is necessary for most life forms; thus turbid water is considered a threat to wetland ecosystems. Passive filtration systems are commonly used to reduce turbidity in wetlands. Suspended solids are measured in mg/l. Is there a relation between input and output turbidity for a passive filtration system and, if so, is it statistically significant? At a wetlands environment in Illinois, the inlet and outlet turbidity of a passive filtration system have been measured. A random sample of measurements are shown below. (Reference: EPA Wetland Case Studies.)

Use a 1% level of significance to test the claim that there is a monotone relationship (either way) between the ranks of the inlet readings and outlet readings.

(a) Rank-order the inlet readings using 1 as the largest data value. Also rank-order the outlet readings using 1 as the largest data value. Then construct a table of ranks to be used for a Spearman rank correlation test.
(c) Compute the sample test statistic. (Use 3 decimal places.)
 
Reading 1 2 3 4 5 6 7 8 9 10 11 12
Inlet (mg/l) 19.8 14.8 64.6 13.4 52.5 48.3 55.5 46.5 67.3 87.5 89.0 50.5
Outlet (mg/l) 4.7 7.9 14.2 7.5 15.0 6.0 13.6 8.2 11.6 17.9 15.6 9.7
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