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 | 15 | |||
Between persons | 4 | |||
Within groups (error) | 55 | |||
Total |
(a) Complete the F-table.
Source of Variation |
SS | df | MS | Fobt |
---|---|---|---|---|
Between groups |
15 | |||
Between persons |
4 | |||
Within groups (error) |
55 | |||
Total |
Make a decision to retain or reject the null hypothesis. (Assume
alpha equal to 0.05.)
Retain the null hypothesis.
Reject the null hypothesis.
(b) Estimate effect size using partial omega-squared:
ωP2. (Round your answer to
two decimal places.)
ωP2 =
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