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 sofisofi
  • Posts: 23
  • Joined: Mar 31, 2022
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#95352
Hi,
I was wondering why (E) was incorrect.
Thanks for any explanation!
 Adam Tyson
PowerScore Staff
  • PowerScore Staff
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  • Joined: Apr 14, 2011
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#95356
Answer E leaves out some needed information, sofisofi, such as: did it rain the next day on those occasions? More importantly, what did the most popular station say on those days? Since the argument is about being more reliable than the most popular station, as opposed to being more reliable than some other random station, we need to compare this station to the most popular one, and answer E doesn't make that comparison for us.
 sofisofi
  • Posts: 23
  • Joined: Mar 31, 2022
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#95369
I see now thanks!
User avatar
 queenbee
  • Posts: 75
  • Joined: Sep 18, 2022
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#97593
Hi
I am really struggling with this question: How does predicting rain more frequently lead to more accurate results and strengthen the argument? It could be that the meteorologist station predicted fewer rain days and their predictions were more accurate:

Meteorologies: predicted it would rain 5 times in 2 months and they had 100% accuracy
Popular news station: predicted it would rain 10 times in 2 months where as it only rained 5 times.

Forecasting rain more often does not guarantee accurate results.

I chose C because it seemed to suggest that they popular news stations were attracting viewers for reasons other than the weather.

Would you kindly help with the flaw in my logic?
Thank you
 Robert Carroll
PowerScore Staff
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#97928
queenbee,

The example you brought up is contradicted by answer choice (A) itself, though. That's what answer choice (A) does - it shows that the meteorologist's station isn't just more accurate in forecasting rain because they forecast rain more rarely than other stations, and get it right in those few cases where they bother to forecast. No, they forecast rain more often. So if they're right most of the time they forecast rain, and they forecast rain more often, there's a larger number of days that they're right in. It can't just be that, for instance, they forecast rain ONCE per year, maybe exactly when there's a hurricane coming, and they're right that one time. Instead, they forecast rain more often than other stations, and are correct in most of those forecasts. Answer choice (A) does all that and removes the "forecast rarely, get it right" possibility.

There's no need to "guarantee" more accurate results when they forecast rain more often - the stimulus already has a premise where are right most of the time they forecast rain.

I don't see how answer choice (C) strengthens the argument that the meteorologist's station has more useful and reliable weather forecasts.

Robert Carroll

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