The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use a spreadsheet to conduct an analysis of variance with α=0.05α=0.05 to determine whether these data are sufficient to conclude that there are significant differences between the treatments.
Treatment A | Treatment B | Treatment C |
---|---|---|
12 | 12 | 16 |
12 | 11 | 18 |
12 | 13 | 15 |
11 | 14 | 17 |
13 | 15 | 19 |
F-ratio =
p-value =
The results obtained above were primarily due to the mean for
the third treatment being noticeably different from the other two
sample means. For the following data, the scores are the same as
above except that the difference between treatments was reduced by
moving the third treatment closer to the other two samples. In
particular, 3 points have been subtracted from each score in the
third sample.
Before you begin the calculation, predict how the changes in the
data should influence the outcome of the analysis. That is, how
will the F-ratio for these data compare with the
F-ratio from above?
Treatment A | Treatment B | Treatment C |
---|---|---|
12 | 12 | 13 |
12 | 11 | 15 |
12 | 13 | 12 |
11 | 14 | 14 |
13 | 15 | 16 |
F-ratio =
p-value =
1)Applying ANOVA from excel: data-data analysis:
Source of Variation | SS | df | MS | F | P-value |
Between Groups | 70 | 2 | 35.00 | 19.0909 | 0.0002 |
Within Groups | 22 | 12 | 1.83 | ||
Total | 92 | 14 |
F ratio =19.0909 (please try 19.09 if required to 2 decimals)
p value =0.0002 (please try 0.000 if required to 3 decimals)
2)
Source of Variation | SS | df | MS | F | P-value |
Between Groups | 10 | 2 | 5.0000 | 2.7273 | 0.1056 |
Within Groups | 22 | 12 | 1.8333 | ||
Total | 32 | 14 |
F ratio =2.7273 (please try 2.73 if required to 2 decimals)
p value =0.1056 (please try 0.106 if required to 3 decimals)
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