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Tag Archives: data sufficiency

GMAT Critical Reasoning vs Data Sufficiency: Two Sides of the Same Coin

Traditional GMAT wisdom suggests that the skills needed for success on the Verbal section overlap little, if at all, with one’s quantitative abilities. Given our educational system and the very fact that the GMAT has separate Quantitative and Verbal sections, such a distinction seems uncontroversial and downright obvious. But, as we all know, the structure and content of the GMAT can often run against our…

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GMAT Data Sufficiency: “I don’t know” vs “Not Sufficient”

If you’ve been preparing at all for GMAT data sufficiency, you’ve probably been confronted with situations in which the information in the statement seems inscrutable. You know that it’s telling you something, but you’re not quite sure what, if any, relevance the information has to the question in the prompt. This, in and of itself, is a fairly common situation. Even though almost all Data Sufficiency statements…

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GMAT Quantitative Concept: Disguised Quadratics

If you’ve been studying for the GMAT, you’ve probably encountered situations that require knowledge of quadratic equations and how they work. In so doing, you’ve also probably memorized the following three equivalencies: (x + y)2 = x2 + 2xy + y2 (x – y)2 = x2 – 2xy + y2 (x – y)(x + y) = x2 – y2 Knowledge of these three equations will, without a doubt, come in handy on…

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GMAT Data Sufficiency: Breaking Your Assumptions

One of the most widespread mistakes I see students make on Data Sufficiency concerns the information they consider when evaluating a statement. To properly determine whether a statement is sufficient, you must be focused on using only the information given. If, for example, a statement only tells you that -10 < x < 10, but says nothing else, then you can’t assume that x is an integer, and you…

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The Most Common GMAT Data Sufficiency Mistake

As anyone who has prepared for the GMAT would attest to, the GMAT data sufficiency is probably the trickiest component of the test. Along with requiring an abundance of abstract thought, its strange wording and structure naturally induce students to make mistakes. Here, I’m going to discuss the #1 mistake students make on data sufficiency: They don’t evaluate the statements independently! Let’s look at a…

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