How do the average weekly incomes of electricians and carpenters compare? A random sample of 17 regions in the United States gave the following information about average weekly income (in dollars). (Reference: U.S. Department of Labor, Bureau of Labor Statistics.) Region 1 2 3 4 5 6 7 8 9 Electricians 464 715 597 464 736 694 744 571 806 Carpenters 542 813 513 476 688 503 789 653 474 Region 10 11 12 13 14 15 16 17 Electricians 592 594 702 579 868 598 597 654 Carpenters 489 647 676 384 817 605 556 505 Does this information indicate a difference (either way) in the average weekly incomes of electricians compared to those of carpenters? Use a 5% level of significance. (a) What is the level of significance? (b) Compute the sample test statistic. (c) Find the P-value of the sample test statistic.
How do the average weekly incomes of electricians and carpenters compare? A random sample of 17 regions in the United States gave the following information about average weekly income (in dollars). (Reference: U.S. Department of Labor, Bureau of Labor Statistics.) Region 1 2 3 4 5 6 7 8 9 Electricians 464 715 597 464 736 694 744 571 806 Carpenters 542 813 513 476 688 503 789 653 474 Region 10 11 12 13 14 15 16 17 Electricians 592 594 702 579 868 598 597 654 Carpenters 489 647 676 384 817 605 556 505 Does this information indicate a difference (either way) in the average weekly incomes of electricians compared to those of carpenters? Use a 5% level of significance. (a) What is the level of significance? (b) Compute the sample test statistic. (c) Find the P-value of the sample test statistic.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 30PPS
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How do the average weekly incomes of electricians and carpenters compare? A random sample of 17 regions in the United States gave the following information about average weekly income (in dollars). (Reference: U.S. Department of Labor, Bureau of Labor Statistics.)
Region | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Electricians | 464 | 715 | 597 | 464 | 736 | 694 | 744 | 571 | 806 |
Carpenters | 542 | 813 | 513 | 476 | 688 | 503 | 789 | 653 | 474 |
Region | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 |
Electricians | 592 | 594 | 702 | 579 | 868 | 598 | 597 | 654 |
Carpenters | 489 | 647 | 676 | 384 | 817 | 605 | 556 | 505 |
Does this information indicate a difference (either way) in the average weekly incomes of electricians compared to those of carpenters? Use a 5% level of significance.
(a) What is the level of significance?
(b) Compute the sample test statistic.
(c) Find the P-value of the sample test statistic.
Expert Solution
Step 1
First We need to check whether variances are equal or not, To check the run an F test
Electrician(1) | Carpenters(2) | |
Sample Size(n) | 17 | 17 |
Mean | 645.5882 | 595.8824 |
Variance | 11996.13 | 16749.11 |
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