We want to find the most effective flea treatment for cats. We have three differ
ID: 3315987 • Letter: W
Question
We want to find the most effective flea treatment for cats. We have three different flea products and two groups of cats (mostly indoor and outdoor only). Our DV will be the number of fleas we find on the cat after 2 weeks of treatment with one of the 3 products chosen randomly by a dice roll. Our factorial ANOVA suggests we have a main effect of flea product.
What does this mean?
a. At least one of the flea products was significantly better than another product. We would need to conduct some post hoc analyses to find out the specifics.
b. The efficacy of the flea product depended on if the cat was mostly indoor or outdoor only.
c. There were significant differences in the efficacy of all the flea products.
None of the Above.
a. At least one of the flea products was significantly better than another product. We would need to conduct some post hoc analyses to find out the specifics.
b. The efficacy of the flea product depended on if the cat was mostly indoor or outdoor only.
c. There were significant differences in the efficacy of all the flea products.
d.None of the Above.
Explanation / Answer
(a) At least one of the flea products was significantly better than another product. We would need to conduct some post hoc analyses to find out the specifics.
Under an analysis of variance, a main effect test will test the hypotheses expected such as H0, the null hypothesis. Running a hypothesis for a main effect will test whether there is evidence of an effect of different treatments. However a main effect test is nonspecific and will not allow for a localization of specific mean pairwise comparisons. A main effect test will merely look at whether overall there is something about a particular factor that is making a difference. In other words a test examining differences amongst the levels of a single fact. Main effects are essentially the overall effect of a factor
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