Is there a relation between police protection and fire protection? A random sample of large population areas gave the following information about the number of local police and the number of local fire-fighters (units in thousands). (Reference: Statistical Abstract of the United States.) Area 1 2 3 4 5 6 7 8 9 10 11 12 13 Police 9.2 9.3 14.1 4.2 11.7 3.0 8.5 14.7 9.8 14.5 11.5 17.5 14.4 Firefighters 2.5 1.8 3.8 1.5 4.0 1.7 2.6 4.7 2.1 3.3 3.1 4.6 5.3 Use a 5% level of significance to test the claim that there is a monotone relationship (either way) between the ranks of number of police and number of firefighters. (a) Rank-order police using 1 as the largest data value. Also rank-order firefighters using 1 as the largest data value. Then construct a table of ranks to be used for a Spearman rank correlation test. Area Police Rank x Firefighters Rank y d = x - y d2 1 2 3 4 5 6 7 8 9 10 11 12 13 Σd2 =

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Is there a relation between police protection and fire protection? A random sample of large population areas gave the following information about the number of local police and the number of local fire-fighters (units in thousands). (Reference: Statistical Abstract of the United States.)

Area 1 2 3 4 5 6 7 8 9 10 11 12 13
Police 9.2 9.3 14.1 4.2 11.7 3.0 8.5 14.7 9.8 14.5 11.5 17.5 14.4
Firefighters 2.5 1.8 3.8 1.5 4.0 1.7 2.6 4.7 2.1 3.3 3.1 4.6 5.3

Use a 5% level of significance to test the claim that there is a monotone relationship (either way) between the ranks of number of police and number of firefighters.

(a) Rank-order police using 1 as the largest data value. Also rank-order firefighters using 1 as the largest data value. Then construct a table of ranks to be used for a Spearman rank correlation test.

Area Police
Rank x
Firefighters
Rank y
d = x - y d2
1
2
3
4
5
6
7
8
9
10
11
12
13
























































Σd2 = 
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Here, the largest number is given as rank 1, the second largest number is given as rank 2 and so on.

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