Use MegaStat, MINITAB, or another software package to perform
Tukey’s test for significant pairwise differences. Perform the test
using both the 5 percent and 1 percent levels of
significance.
One particular morning, the length of time spent in the examination
rooms is recorded for each patient seen by each physician at an
orthopedic clinic.
Time in Examination Rooms (minutes) | |||
Physician 1 | Physician 2 | Physician 3 | Physician 4 |
34 | 32 | 19 | 26 |
22 | 34 | 28 | 35 |
25 | 36 | 30 | 32 |
32 | 30 | 25 | 29 |
24 | 40 | 26 | 30 |
37 | 31 | 30 | 35 |
19 | 24 | 40 | |
27 | |||
(a) Calculate the mean for each group and the
Tukey test statistic Tcalc for each pair.
Provide the critical values for both α = .05 and
α = .01. (Input the mean values within the input
boxes of the first row and input boxes of the first column. Input
Tcalc in the appropriate boxes in the table.
Round all answers to two decimal places.)
Post hoc analysis:
Tukey simultaneous comparison t-values (d.f. = 24) | |||||
Physician 3 | Physician 1 | Physician 4 | Physician 2 | ||
Physician 3 | |||||
Physician 1 | |||||
Physician 4 | |||||
Physician 2 | |||||
Critical values for experimentwise error rate: | |||||
0.05 | |||||
0.01 | |||||
(b) Use Tukey simultaneous comparison t-values
and choose the correct answer.
Physicians 1 and 4 differ
Physicians 1 and 3 differ
Physicians 2 and 4 differ
Physicians 2 and 3 differ
(c) The Tukey test is used for simultaneously comparing
means because it offers good power and maintains the desired
overall probability of Type I error.
True
False
putting above data and from Megastat :Analysis of Variance -One way ANOVA:
Tukey simultaneous comparison t-values (d.f. = 24) | |||||
Physician 3 | Physician 1 | Physician 4 | Physician 2 | ||
mean | 26.1 | 27.6 | 32.4 | 33.8 | |
Physician 3 | 26.1 | ||||
Physician 1 | 27.6 | 0.58 | |||
Physician 4 | 32.4 | 2.51 | 1.88 | ||
Physician 2 | 33.8 | 2.95 | 2.32 | 0.52 | |
critical values for experimentwise error rate: | |||||
0.05 | 2.76 | ||||
0.01 | 3.47 |
b)
for alpha =0.05:
Physicians 2 and 3 differ
c)
true (since it adjust for pair wise error rate)
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