GMAT Question Analysis #1

For this week’s post I decided to do a GMAT math question. The Official Guide for the GMAT provides explanations for all included questions, so I’m going to write one of my own and discuss it. This question could just as easily show up on a test like the GRE, the SAT, or the ACT.

The number N is increased by x% and then the result is decreased by x%. If the result is 64% of N, which of the following could be the value of x?

A. 8
B. 36
C. 60
D. 64
E. None of these

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Correlation Doesn’t Imply Causation (But It Does Waggle Its Eyebrows Suggestively and Gesture Furtively While Mouthing “Look over There”)

Well, this weekend in my private tutoring ended up being all about correlation/causation issues, and I feel like sharing, so here you go:

The issue of correlation versus causation shows up on the LSAT, the GMAT, and the GRE, among other standardized tests. It’s a good idea to start by trying to understand correlation and causation generally. We’ll look at specific examples/applications and a full question analysis towards the end.

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f(This)

Today’s post is for all the GMAT (and GRE and SAT and ACT) students out there. Working with a student this week reminded me just how confused many test-takers are about what it really means for something to be a function and how often it is that these test-takers wind up frozen and unable to even begin to tackle function questions.

Ultimately, a lot of people just don’t understand what functions actually are.

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Reading List

The following materials will be the sources for problems discussed on this blog, and I strongly encourage the purchase of the listed materials for your test of interest. They are published by the official sources for their respective tests and are the most recent editions available.

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