by rinagoldfield Thu May 14, 2015 3:04 pm
Steves, it sounds like you are approaching this question in just the right way, and your analysis of the answers is on point.
Let’s start with the argument core:
Following the decrease in humidity, there were more visits to the school nurse
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A decrease in humidity can make people ill
This argument contains two main assumptions. The first, which you noticed, was the equivalency between visiting the nurse and being ill. Yet maybe there was a big test that caused lots of students to fake illness. This assumption is indeed necessary.
There is a second big assumption here. This argument erroneously collapses causation and correlation. The author assumes that because the visits happened after the humidity decrease, the humidity must have CAUSED the visits. But maybe this is not necessarily the case! Maybe the extra visits were caused by a chicken pox outbreak.
(A) gets at the first flaw. Let’s try negating it – NONE of the visits were due to illness. If this were the case, then the argument would fall apart.
(B) Discusses what is true of MOST of the students. We don’t care about MOST students, just the ones who went to the nurse. Plus (B) brings in a new term, suffering.
(C) is irrelevant. It talks about viruses, which is more specific than the illness discussed in the argument.
(D) is sufficient but not necessary. We only need to know that humidity causes some degree of illness, not the exact percentages and probabilities.
(E) Is irrelevant. Cut costs? Who cares.