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.) Reading 1 2 3 4 5 6 7 8 9 10 11 12 Inlet (mg/l) 62.1 13.8 63.5 30.6 91.1 11.5 67.2 75.6 79.3 29.5 72.9 21.3 Outlet (mg/l) 11.3 2.7 7.5 12.3 12.9 3.8 13.3 13.2 15.1 6.0 7.0 4.7 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. Reading Inlet Rank x Oulet Rank y d = x - y d2 1 2 3 4 5 6 7 8 9 10 11 12 Σd2 =  (b) What is the level of significance? (c) Compute the sample test statistic. (Use 3 decimal places.)

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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.)

Reading 1 2 3 4 5 6 7 8 9 10 11 12
Inlet (mg/l) 62.1 13.8 63.5 30.6 91.1 11.5 67.2 75.6 79.3 29.5 72.9 21.3
Outlet (mg/l) 11.3 2.7 7.5 12.3 12.9 3.8 13.3 13.2 15.1 6.0 7.0 4.7

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.

Reading Inlet
Rank x
Oulet
Rank y
d = x - y d2
1
2
3
4
5
6
7
8
9
10
11
12




















































Σd2 = 


(b) What is the level of significance?
(c) Compute the sample test statistic. (Use 3 decimal places.)
Expert Solution
Step 1

The table of ranks is obtained as given below:

Statistics homework question answer, step 1, image 1

b). The level of significance is α=0.01

The degrees of freedom is obtained as

Statistics homework question answer, step 1, image 2

 

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