The effect of three different lubricating oils on fuel economy in diesel truck engines was studied. Five different truck engines (Blocks) were available for the following randomized complete block design:
OIL / TRUCKS | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|
1 | 5.0 | 6.3 | 4.9 | 3.3 | 5.1 |
2 | 5.4 | 6.8 | 5.2 | 4.4 | 5.4 |
3 | 5.1 | 5.9 | 4.9 | 4.0 | 5.1 |
Complete the ANOVA Table and draw your conclusion:
Source of Variation | Sum of Sq. | df | Mean Sq. | F-Value |
---|---|---|---|---|
Truck | ||||
Oil | ||||
Residual | ||||
Total |
Applying ANOVA from excel: data-data analysis:Anova: Two-Factor Without Replication
Source of Variation | SS | df | MS | F | P-value |
Truck | 8.9507 | 4 | 2.2377 | 39.8398 | 0.0000 |
Oil | 0.7840 | 2 | 0.3920 | 6.9792 | 0.0176 |
residual | 0.4493 | 8 | 0.0562 | ||
Total | 10.1840 | 14 |
since p value for both Truck and Oil factor is less than 0.05 ,
both Factors are significant.
we have sufficient evidence to conclude that not all three different lubricating oils have equal population mean on fuel economy
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