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.
Sales of People magazine are compared over a 5-week period
at four Borders outlets in Chicago.
Weekly Sales | |||
Store 1 | Store 2 | Store 3 | Store 4 |
99 | 97 | 90 | 103 |
108 | 79 | 91 | 117 |
105 | 82 | 74 | 87 |
114 | 82 | 108 | 101 |
112 | 101 | 93 | 98 |
(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. = 16) | |||||
Store 2 | Store 3 | Store 4 | Store 1 | ||
Store 2 | |||||
Store 3 | |||||
Store 4 | |||||
Store 1 | |||||
Critical values for experimentwise error rate: | |||||
0.05 | |||||
0.01 | |||||
(b) Use Tukey simultaneous comparison t-values
and choose the correct answer.
The weekly sales of Store 1 and Store 2 differ.
The weekly sales of Store 3 and Store 4 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
from Mega stat:
a)
Tukey simultaneous comparison t-values (d.f. = 16) | |||||
Store 2 | Store 3 | Store 4 | Store 1 | ||
88.2 | 91.2 | 101.2 | 107.6 | ||
Store 2 | 88.2 | ||||
Store 3 | 91.2 | 0.48 | |||
Store 4 | 101.2 | 2.06 | 1.59 | ||
Store 1 | 107.6 | 3.08 | 2.60 | 1.01 |
critical values for experimentwise error rate: | |||
0.05 | 2.86 | ||
0.01 | 3.67 |
b)
The weekly sales of Store 1 and Store 2 differ.
c)
True
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