Yield of wheat can be affected by Fusarium, a fungus. Antifungal
agents can be researched by measuring their impact on wheat yield
in bushels per acre. A trial of five different antifungal agents
could be conducted on four blocks of land, with each divided into
five plots, and one randomly assigned for each agent. Do a complete
hypothesis test to compare the effectiveness of antifungal
agents.
Antifungal A B C D E
1 41.1 37.7 34.2 32.2 39.9
2 40.2 35.4 38.2 32.7 40.1
3 39.9 41.1 39.4 38.9 41.2
4 37.2 40.5 37.7 36.8 42.1
Using two-way ANOVA we can test to compare the effectiveness of antifungal agents.
Here the hypothesis is,
H0: Mean effects are equal vs H1: Mean effects are not equal
Here the ANOVA table is,
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Antifungal agents | 75.925 | 4 | 18.98125 | 4.725328 | 0.016016 | 3.259167 |
Blocks | 30.7495 | 3 | 10.24983 | 2.551667 | 0.104558 | 3.490295 |
Error | 48.203 | 12 | 4.016917 | |||
Total | 154.8775 | 19 |
Here the p-value for the above hypothesis is 0.016016 < 0.05 but >0.01. So, at 1% level of significance, we don't have enough evidence to conclude that the effects are significant but at 5% level of significance, we can conclude that there is a significant difference in the effects of antifungal agents.
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