
(a)
Complete the F table.
(a)

Answer to Problem 22CAP
The complete F table is,
Source of Variation | SS | df | MS | Fobt |
Between groups | 30 | 2 | 15 | 11.72 |
Within groups (error) | 50 | 39 | 1.28 | |
Total | 80 | 41 |
Explanation of Solution
Calculation:
From the given data, there are three groups highly experienced, moderately experienced and inexperienced athletes. The
The formulas for computing the F table are,
Source of Variation | SS | df | MS | Fobt |
Between groups | SSBG | k−1 | SSBGdfBG | MSBGMSE |
Within groups (error) | SSE | N−k | SSEdfE | |
Total | 80 | (N−1) or (kn−1) |
Where SSBG indicates the sum of the squares of variation between the groups, SST denotes the Total sum of squares, SSE denotes the error sum of squares, MSE indicates the means squares due to error, MSBG indicates the means squares due to variation between the groups.k indicates the levels of factor. n represents the number of participants in each groups. N represents the total number of participants.
Source of Variation | SS | df | MS | Fobt |
Between groups | 80−50=30 | 3−1=2 | 302=15 | 151.28=11.72 |
Within groups (error) | 50 | 42−3=39 | 5039=1.28 | |
Total | 80 | (14×3)−1=41 |
Thus, the ANOVA table is,
Source of Variation | SS | df | MS | Fobt |
Between groups | 30 | 2 | 15 | 11.72 |
Within groups (error) | 50 | 39 | 1.28 | |
Total | 80 | 41 |
(b)
Find the value of eta-squared (η2).
(b)

Answer to Problem 22CAP
The value of eta-squared (η2) is 0.38 and it represents thelarge effect size.
Explanation of Solution
Calculation:
The ANOVA table suggests that the value of SSBG is 30 and the value of SST is 80.
Eta-squared (η2):
One of the measure for effect size is Eta-squared (η2). Eta-squared computed as the sum of squares between groups divided by the total sum of squares.
Formula is given by,
η2=SSBGSST.
Where, SSBG represents the sum of squares between groups and SST represents the total sum of squares.
Description of effect size using eta-squared:
- If the eta-squared value is less than 0.01, then the effect size is small.
- If the eta-squared value lies between 0.01 and 0.09, then the effect size is medium.
- If the eta-squared value is greater than 0.25, then the effect size is larger.
Substitute the value of SSBG is 30 and the value of SST is 80.
The eta-squared value is,
η2=SSBGSST=3080=0.38
Justification: The value of eta-squared is 0.38, which is greater than 0.25. Hence, the effect size is larger.
Hence, the value of eta-squared (η2) is 0.38 and it represents the large effect size.
(c)
Observe whether the decision is to retain or reject the null hypothesis.
(c)

Answer to Problem 22CAP
The decision is rejecting the null hypothesis.
Explanation of Solution
Calculation:
The given information suggest that the degrees of freedom for between groups is 2 and the degrees of freedom for error is 39.
Rejection Rule:
If the value of the test statistic is greater than the critical value then reject the null hypothesis.
The given ANOVA table suggests that the degrees of freedom for between groups is 2 and the degrees of freedom for error is 39. That is, the degrees of freedom for numerator is 2 because the between group degrees of freedom represents the numerator degrees of freedom and the degrees of freedom for denominator is 39 because the error group degrees of freedom represents the denominator degrees of freedom.
Critical value:
Assume that the significance level is α=0.05.
The numerator degrees of freedom are 2, the denominator degrees of freedom as 39 and the alpha level is 0.05.
From the Appendix B: Table B.3 the F Distribution:
- Locate the value 2 in the numerator degrees of freedom row.
- Locate the value 39 in the denominator degrees of freedom column.
- Locate the 0.05 in level of significance.
- The intersecting value that corresponds to the numerator degrees of freedom 2, the denominator degrees of freedom 39 with level of significance 0.05 is 3.24.
Thus, the critical value for the numerator degrees of freedom 2, the denominator degrees of freedom 39 with level of significance 0.05 is 3.24.
The ANOVA gives that the test statistic value is Fobt=11.72.
Conclusion:
The value of test statistic is 11.72
The critical value is 3.24.
The value of test statistic is greater than the critical value.
The test statistic value falls under critical region.
By the decision rule, the conclusion is rejecting the null hypothesis.
Hence, the decision is rejecting the null hypothesis.
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Chapter 12 Solutions
Statistics for the Behavioral Sciences
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