Big Rock Insurance Company did a study of per capita income and volume of insurance sales in eight Midwest cities. The volume of sales in each city was ranked, with 1 being the largest volume. The per capita income was rounded to the nearest thousand dollars. Reading Rank of insurance sales volume 1 2 4 5 6 7 8 7 1 4 3 Per capita income in $1000 16 13 14 19 12 18 15 17 Jsing a 0.01 level of significance, test the claim that there is a monotone relation (either way) between rank of sales volume and rank of per capita income. (a) Using a rank of 1 for the highest per capita income, make a table of ranks to be used for a Spearman rank correlation test. Rank of per capita income in $1000 y Rank of City insurance sales d = x - y volume x 1 8 2 6 7 3 4 5 6. 2 7 4 8 3 = Compute the sample test statistic. (Use 3 decimal places.)

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Big Rock Insurance Company did a study of per capita income and volume of insurance sales in eight Midwest cities.
The volume of sales in each city was ranked, with 1 being the largest volume. The per capita income was rounded to the nearest thousand dollars.
Reading
1
3
4
7
8.
Rank of insurance sales volume
8
6.
7
1
4
3
Per capita income in $1000
16
13
14
19
12
18
15
17
Using a 0.01 level of significance, test the claim that there is a monotone relation (either way) between rank of sales volume and rank of per capita income.
(a) Using a rank of 1 for the highest per capita income, make a table of ranks to be used for a Spearman rank correlation test.
Rank of per
capita income in
$1000 y
Rank of
City
insurance sales
d = x - y
volume x
8
2
6.
3
7
4
1
5
2
7
4
8
3
Ed²
Compute the sample test statistic. (Use 3 decimal places.)
1.
Transcribed Image Text:Big Rock Insurance Company did a study of per capita income and volume of insurance sales in eight Midwest cities. The volume of sales in each city was ranked, with 1 being the largest volume. The per capita income was rounded to the nearest thousand dollars. Reading 1 3 4 7 8. Rank of insurance sales volume 8 6. 7 1 4 3 Per capita income in $1000 16 13 14 19 12 18 15 17 Using a 0.01 level of significance, test the claim that there is a monotone relation (either way) between rank of sales volume and rank of per capita income. (a) Using a rank of 1 for the highest per capita income, make a table of ranks to be used for a Spearman rank correlation test. Rank of per capita income in $1000 y Rank of City insurance sales d = x - y volume x 8 2 6. 3 7 4 1 5 2 7 4 8 3 Ed² Compute the sample test statistic. (Use 3 decimal places.) 1.
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