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- Section 4, Question 10
In a test of fuel efficiency, car X(34 more words not shown)
Which one of the following(11 more words not shown)
- AIn an experiment,(29 more words not shown)
- BOur hamster gained(30 more words not shown)
- CWhen on his(33 more words not shown)
- DWhen asked to(36 more words not shown)
- EJean demonstrates a(28 more words not shown)
Reading the argument
Car X kept up while being driven at a disadvantage. I can see why the author thinks X is the more fuel-efficient car.
If X's driver was wasting fuel through repeated braking and acceleration, for example, matching Y's mileage would be an impressive result. The reasoning assumes that driving X more efficiently would improve its result. Under comparable conditions, X could then beat Y rather than merely tie it.
What we’re looking for
The question asks for similar reasoning. Set aside other questions we could ask about the cars, such as which pollutes more; this comparison is about fuel efficiency. Look for two things with the same measured result, a condition that works against one of them, and a conclusion that this one has a compensating advantage.
Working the answers
- A
The pain ratings are different, and the conclusion is that the subjects experience pain differently. There is no equal result despite a disadvantage, followed by an inferred strength that explains the tie. This moves from different reports to different experiences.
- BCorrect
The hamsters gained the same amount of weight, just as the cars produced the same mileage. Our hamster ate more, which would tend to produce more weight gain, just as less efficient driving would tend to reduce X's mileage.
To explain the equal result despite that difference, the argument says our hamster burned more calories. That extra calorie burning plays the role of X's greater fuel efficiency: a compensating advantage inferred from keeping the outcome equal under unequal conditions.
- C
Roland moves faster coasting downhill than pedaling on level ground, then predicts an even faster trip by combining the hill with pedaling. This starts with different results and proposes combining helpful conditions. It doesn't infer a hidden advantage in one of two things from an equal result despite a disadvantage.
- D
This does mention cases where the estimates are equal, so don't stop at “lower estimates on average.” But those equal estimates aren't achieved despite a condition that should have made one result worse. The argument uses one person's usual tendency to give lower estimates to claim that their matching estimates must be too high.
We haven't been told the furniture's actual value. Two equal estimates could both be accurate. That unsupported judgment about overestimation differs from the cars' argument about a compensating advantage.
- E
Jean sees well with glasses, and the author concludes that she would see less well without them. This compares one person's performance with and without an aid. It doesn't give two equal observed results under unequal conditions and infer a difference between the subjects.
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