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
A First Course in Probability (10th Edition)
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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
%
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