The manager of a computer software company wishes to study the number of hours top executives spend at their computer terminals by type of industry. The manager selected a sample of five executives from each of three industries. A the 0.05 significance level, can she conclude that there is a difference in the mean number of hours spent at a terminal p week by industry? Banking Retail Insur ance 15 15 10 12 10 11 6 9. 6 7 6 15 6 14

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The manager of a computer software company wishes to study the number of hours top executives spend at their
computer terminals by type of industry. The manager selected a sample of five executives from each of three industries. At
the 0.05 significance level, can she conclude that there is a difference in the mean number of hours spent at a terminal per
week by industry?
Banking
Retail
Insur ance
15
15
10
12
10
11
9
6.
8.
6
15
6
14
to select) v 2 (Click to select)
Click to select) V all the same
b. FO 05
nd the indl Gr
places.)
c. Complete the ANOVA table. (Round the SS, MS, and Fvalues to 2 decimal places.)
Source
SS
DF
MS
Factor
Error
Total
174.00
d. Decision: (Click to select)
Но.
Transcribed Image Text:The manager of a computer software company wishes to study the number of hours top executives spend at their computer terminals by type of industry. The manager selected a sample of five executives from each of three industries. At the 0.05 significance level, can she conclude that there is a difference in the mean number of hours spent at a terminal per week by industry? Banking Retail Insur ance 15 15 10 12 10 11 9 6. 8. 6 15 6 14 to select) v 2 (Click to select) Click to select) V all the same b. FO 05 nd the indl Gr places.) c. Complete the ANOVA table. (Round the SS, MS, and Fvalues to 2 decimal places.) Source SS DF MS Factor Error Total 174.00 d. Decision: (Click to select) Но.
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