A study investigated the effects of physical fatigue on the performance of professional tennis players. Researchers measured the number of unforced errors committed by a random sample of 12 professional tennis players during the first three sets of a match. They hypothesized that increased fatigue would be associated with a greater number of errors. The following is an F-table for this hypothetical study using the one-way within-subjects ANOVA.
Source of Variation | SS | df | MS | Fobt |
---|---|---|---|---|
Between groups | 14 | |||
Between persons | 3 | |||
Within groups (error) | 55 | |||
Total |
(a) Complete the F-table.
Source of Variation |
SS | df | MS | Fobt |
---|---|---|---|---|
Between groups |
14 | |||
Between persons |
3 | |||
Within groups (error) |
55 | |||
Total |
(b) Estimate effect size using partial omega-squared:
ωP2. (Round your answer to
two decimal places.)
ωP2 =
Number of groups, a = 3
Number of professional, b = 12
Total size, N = 12*3 =36
A) ANOVA table:
Source of variation | SS | df | MS | F |
Between Groups | 2*14 = 28 | a-1 = 2 | 14 | 14/2 = 7 |
Between persons | 11*3 = 33 | b-1 = 11 | 3 | 3/2 = 1.5 |
Within Groups | 55 | 35-2-11 = 22 | 55/22 = 2.5 | |
Total | 28+33+55= 116 | N-1 = 35 |
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