PT68, S2, Q14 (Evaluate the Argument)
E is correct.
We’ve got an Evaluate the Argument question. These are assumption family questions. In our search for the right answer, we’ll want to ask what would test an assumption. As it’s an assumption type question, let’s get started by find the core. It looks like this:
City dog licensing records show more C.S. in F.H. than anywhere else in the city
So
If we find a C.S. around F.H., it likely belongs to someone in F.H.
Can we spot any gaps here? It actually seems pretty tight. Maybe there’s a place near F.H. that has more C.S. but is technically in another city? Seems week, but sometimes we just need to boldly go into the answer choices armed only with our core. Here we go, remember we’re looking for something that tests an assumption.
(A) is out of scope. We want to know what to do with a cocker spaniel, who cares about other breeds?
(B) is out of scope. Same reasons as (A). Who cares about other breeds?
(C) is tempting; it seems to get at the number of dogs, but where they find these dogs has an unclear impact on our argument. Eliminate it.
(D) is tempting too because it brings up per capita. How does this impact our argument? We know they have more cocker spaniels in F.H. Does it matter if it’s one strange guy with thousands of cocker spaniels or a bunch of families with one cocker spaniel each? No. What matters is where most of the cocker spaniels live. If this doesn’t make sense, imagine this situation:
If you were to select a random person from our planet, from which country are they mostly likely to be? Likely you guessed India or China as they have by far the largest populations. Now if I told you that in fact Monaco has the largest population per square mile (about 50,000 people/square mile in case you’re curious), would you change your guess? Of course not.
Ultimately, answer (D) doesn’t have any impact on the fact that there are simply more cocker spaniels in F.H. Eliminate it.
(E) is our only remaining answer. Let’s look at the possible ways the answer choice could impact our outcome.
Let’s say that residents are more likely to license their dogs. Any effect? Well yes in fact. We decided that there were more dogs in F.H. based on the licensing records. It could be that people in other parts of the city have loads of cocker spaniels and just aren’t registering them. It puts our whole argument into question.
If they aren’t any more likely to license their dogs, that confirms the argument we’ve made. Knowing whether they are or aren’t more likely to do so is critical for the validity of the argument. For this reason (E) will help us evaluate the argument. In retrospect, the assumption here was that licensing records provide an accurate report of dog populations.