MagglioOrpwnez

I guess it is good to know for people taking both tests, but I certainly don't think that a 60-something percentile quant GMAT translates to an 800 on the GRE. My GRE prep was much more diligent. But I think the deal breaker was the Quantitative Comparisons on the GRE instead of the Data Sufficiency on the GMAT. People who are Type A like me can waste WAY too much time solving the data sufficiency questions. For these questions, I always try to find the exact numerical answer to prove that my answer is correct. This is not the way to do it... although logically sound, takes too much time. On the GRE quant comparisons, one can look at the question and deduce an answer much faster than the data sufficiency in my opinion. I was looking for someone who took both tests that might offer me insights for a higher GMAT score, as I would like to have a 700+ GMAT in my pocket if I need it in the near future.

I will take a stab. I am positive 1 is correct. I am pretty sure about 2 and 3. 1) E REASONING: Both statements tell you the same thing: that QPR is 30 degrees. To find PQR, you need either PRQ or PRS. Neither can be deduced from the information given. A way to verify this is to think of two situations that yield different answers for PQR, but that satisfy the statements given. Situation 1: RPS measures 40 degrees, PRS measures 50 degrees. This gives PRQ = 130 degrees. Statement 1 tells us that QPR = 30, giving us PQR = 20 degrees. Statement 2 tells us that PQR and PRQ sum to 150. This is verified (130 + 20) Situation 2: RPS measures 30 degrees, PRS measures 60 degrees. Both statements are again verified. QPR is 30. PQR = 20, PRQ = 130. They sum to 150. Thus, the information given is NOT sufficient. 2) E REASONING: Again, think of situations that don't violate the assumptions, but give different results for the quantity asked. Statement 1 alone: not sufficient. It tells us that no balls are white and even. We could have 0 white balls and 0 even balls, which gives us P(white or even) = 0. We could also have 10 white odd balls and 10 red even balls, which gives us P(white or even) = .8. Statement 2 alone: not sufficient. It tells us that the different between P(white) and P(even) is .2. Let's say all 15 balls are white, and 10 are even. P(white) - P(even) = .6 - .4 = .2 and P(white or even) = 1. Let's say we have 10 white balls and 5 even balls. P(white) - P(even) = .4 - .2 = .2. P(white or even) = .6. If we combine the two statements, it tells us that in statement 2, we can't have any balls that are white and even. This doesn't affect the question: P(white or even) is still different under the different scenarios. Thus, we need more information to deduce P(white or even). 3. D REASONING: For n to be a multiple of 5, p or q must be 5. Therefore, in p^2 X p^2, one of the terms MUST be 25, so D must be a multiple of 25.

Hi, I took the GMAT in February '10 and did alright... 660 with 87th percentile in verbal and 62nd percentile in quantitative (42). I am looking to apply to a PhD Accounting program and would like to get this thing up to a 720 or so, ideally a 750. Obviously, some of you will think this is impossible. However, my poor quant score must be due to poor timing... I took the test cold. I took the GRE after much preparation and after taking a dozen or so practice tests and got a perfect score of 800 on the quantitative section. Has anyone else taken these two tests and been in a similar situation? What is the best way to up the GMAT score? I am planning on taking it again and just doing practice tests to prepare. Does anyone have any top books or prep tips they recommend?