This problem demonstrates a possible (though rare) situation that can occur with group comparisons. The groups are sections and the dependent variable is an exam score. Section 1 Section 2 55.4 57.4 68 49.3 66 63.2 62.3 54.3 71.7 31.2 44.4 55.4 52.6 51.6 45.3 70.9 28.6 67.3 Section 3 60.9 62.3 68.3 61.7 59.1 65.8 50.9 54.6 52.6 Run a one-way ANOVA (fixed effect) with `alpha = 0.05`. Round the F-ratio to three decimal places and the p-value to four decimal places. Assume all population and ANOVA requirements are met.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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This problem demonstrates a possible (though rare) situation that can occur with group comparisons. The
groups are sections and the dependent variable is an exam score.
Section 1
Section 2
'F='
55.4
57.4
68
49.3
66
63.2
62.3
54.3
71.7
`p=`
31.2
44.4
55.4
52.6
51.6
45.3
70.9
28.6
67.3
Run a one-way ANOVA (fixed effect) with `alpha = 0.05`. Round the F-ratio to three decimal places and the
p-value to four decimal places. Assume all population and ANOVA requirements are met.
Section 3
60.9
62.3
68.3
61.7
59.1
65.8
50.9
54.6
52.6
Transcribed Image Text:This problem demonstrates a possible (though rare) situation that can occur with group comparisons. The groups are sections and the dependent variable is an exam score. Section 1 Section 2 'F=' 55.4 57.4 68 49.3 66 63.2 62.3 54.3 71.7 `p=` 31.2 44.4 55.4 52.6 51.6 45.3 70.9 28.6 67.3 Run a one-way ANOVA (fixed effect) with `alpha = 0.05`. Round the F-ratio to three decimal places and the p-value to four decimal places. Assume all population and ANOVA requirements are met. Section 3 60.9 62.3 68.3 61.7 59.1 65.8 50.9 54.6 52.6
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