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(1) Using Dataset9 test at a 1% level of significance if there is any evidence of a significant difference in the average hourly wage (

(1) Using Dataset9 test at a 1% level of significance if there is any evidence of a significant difference in the average hourly wage (hwage) for employees in three groups defined by age category (age). Follow all the necessary steps to perform the test and verify your results using Excel/PHStat. Note: in your data, the variable "age" is coded 1 for people aged 18- 25, 2 for people aged 26-33 and 3 for people aged 34-41.

(2) If your results in (1) indicate that it is appropriate, use the Tukey-Kramer procedure to determine which groups of age differ in average hourly wage. Use a 1% level of significance. Follow all the necessary steps to perform the test and verify your results using Excel/PHStat.

Dataset 9:

hwage age
13 1
8.5 1
10 1
7.5 1
10.5 1
6.5 1
9.5 1
16.5 1
9.5 1
3.5 1
11 1
16.5 1
11.5 1
4.5 1
10.5 1
6.5 1
8 1
9 1
11.5 1
10 2
14.5 2
11.5 2
13 2
9.5 2
11.5 2
8.5 2
14 2
14.5 2
13.5 2
7.5 2
17 2
14.5 2
11 2
14 2
12.5 2
14 2
13 2
18 2
11.5 2
10.5 2
14.5 2
10 2
25 2
13 2
18 2
11.5 2
16 2
7 2
25 2
14.5 2
12.5 2
11 2
14 2
9.5 3
10 3
9 3
9.5 3
19 3
13.5 3
16 3
9 3
14.5 3
11.5 3
12.5 3
8.5 3

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