s there a relation between incidents of child abuse and number of runaway children? A random sample of cities (over 10,000 population) gave the following information about the number of reported incidents of child abuse and the number of runaway children. (Reference: Federal Bureau of Investigation, U.S. Department of Justice.) City 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Abuse cases 48 22 65 110 88 15 19 111 23 35 68 118 12 34 102 Runaways 559 170 370 427 365 164 331 710 325 228 437 597 243 230 396 Use a 1% level of significance to test the claim that there is a monotone-increasing relationship between the ranks of incidents of abuse and number of runaway children. (a) Rank-order abuse using 1 as the largest data value. Also rank-order runaways using 1 as the largest data value. Then construct a table of ranks to be used for a Spearman rank correlation test. City Abuse Cases Rank x Runaways Rank y d = x - y d2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Σd2 =

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s there a relation between incidents of child abuse and number of runaway children? A random sample of cities (over 10,000 population) gave the following information about the number of reported incidents of child abuse and the number of runaway children. (Reference: Federal Bureau of Investigation, U.S. Department of Justice.)

City 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Abuse cases 48 22 65 110 88 15 19 111 23 35 68 118 12 34 102
Runaways 559 170 370 427 365 164 331 710 325 228 437 597 243 230 396

Use a 1% level of significance to test the claim that there is a monotone-increasing relationship between the ranks of incidents of abuse and number of runaway children.

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

City Abuse Cases
Rank x
Runaways
Rank y
d = x - y d2
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
































































Σd2 = 
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