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Shikhar22
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Hi Shikhar22,

Most GMAT questions can be approached in more than one way - and it's possible that "your way" takes a little too long and/or leaves you open to making certain types of mistakes.

Last July, some of your posts implied that you were planning to take the Official GMAT during July or August. Did you end up taking the Exam at that time (and if you did, then how did you score?)?

In addition, it would help if you could provide a bit more information on how you've been studying and your goals:

Studies:
1) How long have you studied? How many hours do you typically study each week?
2) What study materials have you used so far? What brands of CATs/mocks have you used?
3) On what dates (or approximate dates) did you take EACH of your CATs/mocks and how did you score on EACH (including the Quant and Verbal Scaled Scores for EACH)?

Goals:
4) What is your overall goal score?
5) When are you planning to apply to Business School and what Schools are you planning to apply to?

GMAT assassins aren't born, they're made,
Rich

Contact Rich at: Rich.C@empowergmat.com
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Shikhar22
Okay so my DS accuracy seems really inconsistent. If I dwell on it a bit long, I mostly get it right, but when I try to be much more swift, my accuracy tanks. Is the answer to this predicament is just repetition or there’s something much more clever that I’m missing out on? Any comments will be helpful. Thank you!

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Hi Shikhar22

GMAT quant tests only specific types of questions from each topic. So, if you know those questions types and how to solve those using the right methodology, then you can score well on GMAT quant.

Mastering Data Sufficiency requires you to have a very solid understanding of how much information is enough to answer the question. It can turn out to be really tricky if not handled properly.

DS questions are tricky as there are a lot of traps set by the test makers. Students generally tend to directly jump into solving individual statements after reading the question stem, which is not the right process. After reading the question stem, they have to do a certain pre-analysis on the question stem.

For example, if the question stem says x, y and z are in arithmetic progression, we generally tend to assume x, y and z as integers. That’s the basic mistakes students do. It’s never mentioned in the question that they are integers. X can be 0.5 or 2/3 or any value. And sometimes students tend to ignore a few cases such as 0 and 1. All these things matter in DS questions.

You may find this video helpful where you can learn the importance of Drawing inferences and Question Stem Analysis to answer Data Sufficiency questions confidently. We have also covered the common traps in DS questions to help you smartly avoid them:


Feel free to reach out in case of any queries!
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