PTF97.S3.Q20

PrepTest F97 - Section 3 - Question 20

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Criminals released from prison on parole have generally been put under routine supervision. █ ██████ ███████ ███ ███████ █████████ ██ █████ ██████ █████ █████ █████████ ████████████ ████ ████ ████ ███████ ███ ██ ████ █████ ████ ████ ██ ██████████████ ██████████ ███ ██████████ ██ ████████ █████████ ████████ █████ █████ ███████████ ██ ███ ████ ███ █████████ ███████████ ██ ███ ███████ ████████████ ██ █████████ ███████████ ██ ██ ████ █████████ ████ ███████ ███████████ ██ ██████████ █████████ ████ ██████████ ██████████ ███████

Arrest Rates as a Measure of Crime?

The author is evaluating whether intensive supervision is better than routine supervision at preventing crime among parolees. Intensive supervision sounds like it should be more effective: it involves curfews and sometimes electronic monitoring, which are stricter measures than routine supervision. But the author points to a surprising statistic: the arrest rate is the same for both groups. The author takes this to mean that intensive supervision doesn't actually do a better job of preventing crime.

In other words, the author is treating the arrest rate as a reliable measure of how much crime is occurring. If the same percentage of criminals are getting arrested under both types of supervision, the author reasons, then the same amount of crime must be happening under both types. And if the same amount of crime is happening, then the stricter supervision isn't doing any better than the less strict supervision.

Anticipation

Is the arrest rate really a reliable measure of how much crime is occurring? Think about what intensive supervision involves: curfews, electronic monitoring, and closer oversight. If you're being watched more closely, aren't you more likely to get caught when you commit a crime? If that's the case, then the same arrest rate under intensive supervision could actually reflect fewer crimes being committed, because more of those crimes are being detected. Under routine supervision, criminals might be committing more crimes but getting away with a larger share of them.

Even if you don't have that specific criticism in mind before going to the answers, it's worth noticing more generally that the argument uses one metric (arrest rates) to draw a conclusion about something different (crime rates). Because crime rates are a new idea discussed only in the conclusion, we can reasonably anticipate that the author must be making some kind of assumption related crime rates.

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20.

Which one of the following ██ ██ ██████████ ██ █████ ███ ████████ ███████

a

The criminals under █████████ ████████████ ███ ███ █████ █████ ███████ ████████████ ████ ████████ ██ ████ ██ ██████ ██████ ██████ █████ ███████████ ███████

Whether the criminals under intensive supervision were required to work or attend school isn't something the argument needs to assume. The argument's reasoning hinges on the relationship between arrest rates and crime rates, not on the specific conditions of supervision. It's not clear how a work or school requirement affects the relationship between arrest rates and crime rates.

1%
b

All of the █████████ ███ ████ ████████ █████ █████ ███████ ███████████ ███ ████ ██ ██████ ████ ████ ████ ██████ █████ ███████ ███ ███ █████ ████████████

The argument doesn't need to assume anything about the prior criminal history of those under routine supervision. Whether they had been in prison once or multiple times before has no bearing on whether equal arrest rates imply equal crime rates.

2%
c

The proportion of ███████ ██ ██████ █████████ ███ ███ █████████████ ██████ ███ █████████ █████ █████████ ███████████ ████ ███ █████ █████ ███████ ████████████

The author uses equal arrest rates as proof that the same amount of crime is happening under both types of supervision. But that works only if getting arrested is equally likely for both groups when a crime is committed. Criminals under intensive supervision are monitored more closely, so they might get caught for a larger share of the crimes they commit. If that's the case, equal arrest rates wouldn't mean equal amounts of crime. It would mean the intensive supervision group is committing fewer crimes but getting caught more often.

Here's an example to show why this matters. Suppose 100 criminals are under each type of supervision, and 20 from each group get arrested. The arrest rate is 20% for both groups. But what if the intensive group only committed 25 crimes total (and got caught for 20 of them), while the routine group committed 50 crimes total (and got caught for only 20 of them)? The arrest rates are identical, but the intensive group committed half as many crimes. That suggests intensive supervision is more effective at preventing crime, despite what the equal arrest rates suggest. The author has to assume that a scenario like this isn't true.

58%
d

Of the criminals ████████ █████ █████ █████████ ████████████ ████ █████ ███ ████ █████████ ██████ ██ ████ ███ ████ █████ ███████ ████████████

(D) says that some criminals arrested under intensive supervision wouldn't have committed crimes if they'd been under routine supervision instead. In other words, these particular criminals ended up committing crimes under intensive supervision but wouldn't have under routine supervision. If anything, this would suggest intensive supervision is worse than routine supervision for at least some criminals. But the author doesn't need to assume that. The author's conclusion is simply that intensive supervision isn't better. That doesn't mean the author must think it led to crimes that otherwise wouldn't have occurred.

11%
e

The number of █████████ ███ █████ ███████ ███████████ ███ ███ █████████████ ███████ ████ ███ ██████ ██ █████████ ███ █████ █████████ ████████████

The argument compares percentages, not raw numbers. Percentages already account for different group sizes. Whether 100 people or 10,000 people were in each group, a percentage comparison remains valid. So the argument doesn't need to assume the groups were similar in size.

29%

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