Question Type:
Inference
Stimulus Breakdown:
There doesn't seem to be a clear way to link the statements in the stimulus together, as we can in many Inference questions. They aren't conditional statements with shared conditions that we can chain together. "Typically," "usually," and "tend to" basically translate to "most of the time," but it's hard to see a clear overlap between the "most" statements. As is sometimes the case with Inference questions, it looks like we'll do most of our work when we evaluate the answers.
Answer Anticipation:
A wrong-to-right process will be helpful when evaluating answers. The correct answer will be the one that is most strongly supported by the stimulus, but it doesn't need to be 100% guaranteed. We should look to eliminate answers that are unsupported or contradicted.
Correct answer:
B
Answer choice analysis:
(A) This is similar to the first sentence of the stimulus. However, that first sentence only tells us about designs that turn out "well," not "best," and only says that they go through "many" drafts. We aren't told which designs go through the most drafts.
(B) This is supported by the first sentence. A "good" design could reasonably be described as one that "turns out well." If these designs typically go through many drafts which improve the design, that supports the idea that the initial designs had some type of flaws which were improved upon. This isn't an exact match for the first sentence, but we don't need it to be. The first sentence provides a reasonable amount of support for this answer.
(C) We're only told about designs that do turn out well. The stimulus doesn't provide any information about designs that do not turn out well.
(D) This is contradicted. We know that designs that turn out well are improved many times as they go through multiple drafts.
(E) We're told that a sketch allows a designer to see advantages and flaws, but we aren't told that it's impossible for the designer to see these without a sketch.
Takeaway/Pattern:
To successfully answer a "most strongly supported" version of an Inference question, we often need to focus on incorrect answers and notice when an answer isn't supported at all by the stimulus.
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