cr1000 meterologists : GMAT Critical Reasoning (CR)
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cr1000 meterologists

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cr1000 meterologists [#permalink]

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New post 30 Oct 2005, 21:11
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C
D
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Meteorologists say that if only they could design an accurate mathematical model of the atmosphere with all its complexities, they could forecast the weather with real precision. But this is an idle boast, immune to any evaluation, for any inadequate weather forecast would obviously be blamed on imperfections in the model.

12. Which of the following, if true, could best be used as a basis for arguing against the authorтАЩs position that the meteorologistsтАЩ claim cannot be evaluated?
(A) Certain unusual configurations of data can serve as the basis for precise weather forecasts even though the exact causal mechanisms are not understood.
(B) Most significant gains in the accuracy of the relevant mathematical models are accompanied by clear gains in the precision of weather forecasts.
(C) Mathematical models of the meteorological aftermath of such catastrophic events as volcanic eruptions are beginning to be constructed.
(D) Modern weather forecasts for as much as a full day ahead are broadly correct about 80 percent of the time.
(E) Meteorologists readily concede that the accurate mathematical model they are talking about is not now in their power to construct.
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New post 30 Oct 2005, 22:32
B looks like correct answer to me.

It specifies that any gain in mathematical model will have a direct impact on the increase of weather forecast precision. Hence, in light of such evidence, the meteorologist's claim can be evaluated.
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New post 31 Oct 2005, 00:03
go B go..
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New post 03 Nov 2005, 13:36
its B for me.
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New post 06 Nov 2005, 09:32
I would choose B here. The claim is that an inadequate forecast will be blamed on imperfections in the model. If it can be shown, that there exists a causality of accuracy of forecasts and precision of forecasts this claim can be weakened.

can anybody provide OA?
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New post 07 Nov 2005, 00:58
B for me
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New post 07 Nov 2005, 22:02
I would go with D
since we can indeed measure the accuracy of today's model - 80% for one full day ahead
  [#permalink] 07 Nov 2005, 22:02
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