Conduct an ANOVA test, assuming equality of variance, and complete the ANOVA table below the data set.
Determine if there is a significant F-ratio among the three samples from the P-value indicator (round to two decimals).
Calculate the omega-squared value.
1) Using the data set from your data sheet for height, complete the ANOVA table below. Determine if there is a significant F-Ratio among the three samples from the P-Value indicator (round to two decimals). Calculate the Omega-Squared Value.
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Following is the outut of one way ANOVA:
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
Height A | 10 | 647 | 64.7 | 7.788889 | ||
Height B | 10 | 686 | 68.6 | 23.15556 | ||
Height C | 10 | 669 | 66.9 | 67.87778 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 76.46667 | 2 | 38.23333 | 1.16067 | 0.32842 | 3.354131 |
Within Groups | 889.4 | 27 | 32.94074 | |||
Total | 965.8667 | 29 |
The F test statistics:
F = 1.16
The p-value is: 0.3284
Since p-value is large so F ratio is not significant.
The omega square is:
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