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A study was carried out to compare mean customer satisfaction scores at service centers in city A, in city B, and in city C. The sample means on a scale of 0 to 10 were 8.4 in city A, 8.6 in city B, and 7.9 in city C. Each sample size = 100, MS error = 0.41, and the F test statistic = 27.4 has P-value <0.001. Complete parts a through d. than city B. c. Since 0 does not fall in any of these intervals, we can infer that all three pairs of population means are different. City C is higher than cities A and B. City B is higher than city A. FD. Since 0 does not fall in any of these intervals, we can infer that all three pairs of population means are different. City B is higher than cities A and C. City A is higher than

A study was carried out to compare mean customer satisfaction scores at service centers in city A, in city B, and in city C. The sample means on a scale of 0 to 10 were 8.4 in city A, 8.6 in city B, and 7.9 in city C. Each sample size = 100, MS error = 0.41, and the F test statistic = 27.4 has P-value <0.001. Complete parts a through d. than city B. c. Since 0 does not fall in any of these intervals, we can infer that all three pairs of population means are different. City C is higher than cities A and B. City B is higher than city A. FD. Since 0 does not fall in any of these intervals, we can infer that all three pairs of population means are different. City B is higher than cities A and C. City A is higher than

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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A study was carried out to compare mean customer satisfaction scores at service centers in city A, in city B, and in city C. The sample means on a scale of 0 to 10 were 8.4 in city A, 8.6 in city B, and 7.9 in city C. Each sample size = 100, MS error = 0.41, and the F test statistic = 27.4 has P-value <0.001. Complete parts a through d. $ than city B. C. Since 0 does not fall in any of these intervals, we can infer that all three pairs of population means are different. City C is higher than cities A and B. City B is higher than city A. R D. Since 0 does not fall in any of these intervals, we can infer that all three pairs of population means are different. City B is higher than cities A and C. City A is higher than city C. c. The margin of error for Tukey 95% multiple comparison confidence intervals for comparing the service centers is 0.22. Construct the intervals. Interpret. Construct the Tukey 95% multiple comparison confidence interval for the difference in population means between city A and city The Tukey interval for HA-HB is (-0.42, 0.02). (Round to two decimal places as needed. Use ascending order.) View an example DOD DOD F4 Construct the Tukey 95% multiple comparison confidence interval for the difference in population means between city A and city C. The Tukey interval for HA-Hc is (Round to two decimal places as needed. Use ascending order.) NOV 12 % 5-1 Get more help. F5. T A 6 útv MacBook Air F6 Y & 7 Clear all F7 U * 8 DII F8 Check answer ( 9 DD F9 0 A F10 W 1 0 P a F1
Transcribed Image Text:A study was carried out to compare mean customer satisfaction scores at service centers in city A, in city B, and in city C. The sample means on a scale of 0 to 10 were 8.4 in city A, 8.6 in city B, and 7.9 in city C. Each sample size = 100, MS error = 0.41, and the F test statistic = 27.4 has P-value <0.001. Complete parts a through d. $ than city B. C. Since 0 does not fall in any of these intervals, we can infer that all three pairs of population means are different. City C is higher than cities A and B. City B is higher than city A. R D. Since 0 does not fall in any of these intervals, we can infer that all three pairs of population means are different. City B is higher than cities A and C. City A is higher than city C. c. The margin of error for Tukey 95% multiple comparison confidence intervals for comparing the service centers is 0.22. Construct the intervals. Interpret. Construct the Tukey 95% multiple comparison confidence interval for the difference in population means between city A and city The Tukey interval for HA-HB is (-0.42, 0.02). (Round to two decimal places as needed. Use ascending order.) View an example DOD DOD F4 Construct the Tukey 95% multiple comparison confidence interval for the difference in population means between city A and city C. The Tukey interval for HA-Hc is (Round to two decimal places as needed. Use ascending order.) NOV 12 % 5-1 Get more help. F5. T A 6 útv MacBook Air F6 Y & 7 Clear all F7 U * 8 DII F8 Check answer ( 9 DD F9 0 A F10 W 1 0 P a F1
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