picture Click here for the Excel Data File a. Conduct an ANOVA test at the 5% significance level to determine if some population means differ. O Reject Ho; we can conclude that some population means differ. O Reject Ho; we cannot conclude that some population means differ. O Do not reject Ho; we can conclude that some population means differ. O Do not reject Ho; we cannot conclude that some population means differ.

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Author:Amos Gilat
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Chapter1: Starting With Matlab
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A one-way analysis of variance experiment produced the following ANOVA table. Assume normality in
the underlying populations. (You may find it useful to reference the g table).
SUMMARY
Groups
Count
Average
0.38
Column 1
7
Column 2
7
1.21
Column 3
7
2.49
Source of Variation
SS
df
MS
F
p-value
Between Groups
Within Groups
8.00
2
4.00
13.33
0.0003
5.44
18
0.30
Total
13.44
20
Epicture Click here for the Excel Data File
a. Conduct an ANOVA test at the 5% significance level to determine if some population means differ.
Reject Ho; we can conclude that some population means differ.
Reject Ho; we cannot conclude that some population means differ.
Do not reject Ho; we can conclude that some population means differ.
Do not reject Ho; we cannot conclude that some population means differ.
Transcribed Image Text:A one-way analysis of variance experiment produced the following ANOVA table. Assume normality in the underlying populations. (You may find it useful to reference the g table). SUMMARY Groups Count Average 0.38 Column 1 7 Column 2 7 1.21 Column 3 7 2.49 Source of Variation SS df MS F p-value Between Groups Within Groups 8.00 2 4.00 13.33 0.0003 5.44 18 0.30 Total 13.44 20 Epicture Click here for the Excel Data File a. Conduct an ANOVA test at the 5% significance level to determine if some population means differ. Reject Ho; we can conclude that some population means differ. Reject Ho; we cannot conclude that some population means differ. Do not reject Ho; we can conclude that some population means differ. Do not reject Ho; we cannot conclude that some population means differ.
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