1. **State the problem:** We need to compute the F ratio for three groups of scores.
2. **Recall the formula:** The F ratio in ANOVA is given by
$$F = \frac{\text{Mean Square Between Groups (MSB)}}{\text{Mean Square Within Groups (MSW)}}$$
where
- MSB = \(\frac{\text{Sum of Squares Between Groups (SSB)}}{\text{df between}}\)
- MSW = \(\frac{\text{Sum of Squares Within Groups (SSW)}}{\text{df within}}\)
3. **Calculate group means:**
Group 1: \(\frac{10+10+9+8+11}{5} = \frac{48}{5} = 9.6\)
Group 2: \(\frac{9+8+7+7+6}{5} = \frac{37}{5} = 7.4\)
Group 3: \(\frac{8+10+6+8+8}{5} = \frac{40}{5} = 8.0\)
4. **Calculate overall mean:**
$$\text{Grand Mean} = \frac{48 + 37 + 40}{15} = \frac{125}{15} = 8.3333$$
5. **Calculate SSB:**
$$SSB = 5 \times ((9.6 - 8.3333)^2 + (7.4 - 8.3333)^2 + (8.0 - 8.3333)^2)$$
$$= 5 \times (1.6044 + 0.8711 + 0.1111) = 5 \times 2.5866 = 12.933$$
6. **Calculate SSW:** Sum of squared deviations within each group:
Group 1:
$$(10-9.6)^2 + (10-9.6)^2 + (9-9.6)^2 + (8-9.6)^2 + (11-9.6)^2 = 0.16 + 0.16 + 0.36 + 2.56 + 1.96 = 5.2$$
Group 2:
$$(9-7.4)^2 + (8-7.4)^2 + (7-7.4)^2 + (7-7.4)^2 + (6-7.4)^2 = 2.56 + 0.36 + 0.16 + 0.16 + 1.96 = 5.2$$
Group 3:
$$(8-8)^2 + (10-8)^2 + (6-8)^2 + (8-8)^2 + (8-8)^2 = 0 + 4 + 4 + 0 + 0 = 8$$
Total SSW = 5.2 + 5.2 + 8 = 18.4
7. **Degrees of freedom:**
Between groups: \(df_b = k - 1 = 3 - 1 = 2\)
Within groups: \(df_w = N - k = 15 - 3 = 12\)
8. **Calculate MSB and MSW:**
$$MSB = \frac{12.933}{2} = 6.4665$$
$$MSW = \frac{18.4}{12} = 1.5333$$
9. **Calculate F ratio:**
$$F = \frac{6.4665}{1.5333} = 4.22$$
**Final answer:** The F ratio is approximately **4.22**.
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**Excel format for the calculations:**
| Group | Scores | Mean | Sum of Squares Within |
|-------|------------------|------|-----------------------|
| 1 | 10,10,9,8,11 | 9.6 | 5.2 |
| 2 | 9,8,7,7,6 | 7.4 | 5.2 |
| 3 | 8,10,6,8,8 | 8.0 | 8.0 |
| Overall Mean | 8.3333 |
| SSB | 12.933 |
| SSW | 18.4 |
| df Between | 2 |
| df Within | 12 |
| MSB | 6.4665 |
| MSW | 1.5333 |
| F Ratio | 4.22 |
F Ratio 25A430
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