using excel>data>data analysis>one way anova
we have
Anova: Single Factor |
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SUMMARY |
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Groups |
Count |
Sum |
Average |
Variance |
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Control |
29 |
3.1 |
0.106897 |
65.64567 |
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CBT |
26 |
72.4 |
2.784615 |
52.74135 |
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Family |
17 |
123.5 |
7.264706 |
51.22868 |
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ANOVA |
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Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
treatment |
549.1148 |
2 |
274.5574 |
4.764378 |
0.011529 |
3.129644 |
error |
3976.271 |
69 |
57.62712 |
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Total |
4525.386 |
71 |
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Ans a )
the null and alternative hypotheses is
Ho: there is no significant differences
in weight gain between the treatment groups .
Ha: there is significant differences in
weight gain between the treatment groups .
Source of Variation |
SS |
df |
MS |
F |
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treatment |
549.12 |
2 |
274.56 |
4.76 |
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error |
3976.27 |
69 |
57.63 |
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Total |
4525.39 |
71 |
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the p-value is 0.0115
since p value is less than 0.05 so we reject Ho and
conclude that there is significant differences in
weight gain between the treatment groups .