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What NOT to Read on GMAT Reading Comprehension Passages

With regard to the GMAT, raw intellectual horsepower helps, but it is not everything. Manhattan Prep’s Stacey Koprince teaches you how to perform at your best on test day by using some common sense.

Ironically, to do a great job on Reading Comprehension (RC) on the GMAT, we actually have to learn what NOT to read. So many people struggle with what and how to read, but a big part of the battle is knowing what you can skim or skip!

I am going to give you a quick overview of what I mean by “what NOT to read,” and then I am going to point you to some resources containing full examples of the technique.

Learn the Process

First, read the introduction entitled How to Read a Reading Comp Passage. (Hint: Take some notes! You are going to be trying this out on a real passage in a few minutes.)

Next, you are going to try a couple of examples; one contains a Manhattan Prep passage, and one contains an Official Guide (OG) passage.

When you do the exercises, keep a few things in mind:

(1) Look for language clues that help distinguish between “high level” and “detail.” You want to read the “high level” information and skim or skip the “detail.” The “detail” clues tend to be more obvious: for example, for instance, one type of something, and so on.

(2) The bigger the words get, the more likely we will want to skim. They are going to use technical language, but that language will almost certainly be described in easier words at some other point—ignore the technical stuff and go look for that easier description.

(3) Despite #2, we are still expected to have a decent vocabulary. If you run across an unknown-to-you word that is not otherwise defined, then you are forewarned: learn this vocabulary word before you take the GMAT.

Test It Out!

All right, let us try some examples. I am going to have you do the Manhattan Prep example first. Once you think you have mastered that, then try the OG example.

Also, if you have access to Manhattan Prep’s OG Archer study tool, I have posted a video discussion of the passage used in the article to which I linked. Try it yourself first (using the article), but you then might want to reinforce the lesson by watching the video.

Professor Profiles: Jeffrey Carr, NYU Stern School of Business

 width=Many MBA applicants feel that they are purchasing a brand when they choose a business school. However, the educational experience you will have is what is crucial to your future, and no one will affect your education more than your professors. Today, we profile Jeffrey Carr from New York University’s (NYU’s) Leonard N. Stern School of Business.

Having taught at Stern for more than a decade as an adjunct associate professor (and earning the 1996 Stern/Citibank Teacher of the Year Award), Jeffrey Carr joined Stern’s full-time faculty in 2007 and is now a clinical professor of marketing and entrepreneurship. Carr also serves as director of the NYU Stern Fashion and Luxury Lab, which was launched in 2017. He was formerly the executive director of the Berkley Center for Entrepreneurship & Innovation and has garnered a reputation as one of the school’s most respected marketing experts, featured by such major news outlets as NBC and the New York Times. Carr is president of Marketing Foundations Inc. and has worked on projects for such companies as Booz Allen Hamilton, IBM, General Electric, Pfizer, Kodak, Time Inc., and Unilever.

As one first year we interviewed said of his experience at Stern, “So far, the most impressive class has been ‘Marketing’ with Jeff Carr,” adding, “He’s super engaging and makes you think more about the consequences of your actions in marketing than simply teaching you the tools. The class structure is very informal, but all of the students are learning a ton.”

For more information about NYU Stern and 16 other top-ranked business schools, check out our free mbaMission Insider’s Guides.

Look Beyond Business School Rankings

We at mbaMission have tried repeatedly to persuade business school candidates who are evaluating MBA programs to downplay the various schools’ rankings, which can fluctuate wildly, and instead focus on fit, which is enduring. As you prepare for the next admissions season, we recommend that you accelerate and broaden your evaluation process.

One way to look beyond rankings is to speak with MBA students. Even if you do not have direct access to students, reaching out to them in a targeted way—via email, club websites, and social media—can be quite easy. Do not feel as though you are being “pushy” when contacting students this way, because most take pride in their school and are open to speaking with candidates. They are a de facto part of the school’s marketing arm. For example, if you are interested in a certain program for its entrepreneurship offerings, you can get in touch with the individual(s) leading the entrepreneurship club to learn more about the program (and the club!).

Of course, you should be respectful of each individual’s time and be well prepared for your conversation. If you are conscientious, you will be able to gain some great insight into the school’s academic environment and then have time to learn more about the atmosphere on campus. Networking now should enable you to begin narrowing your search and more effectively focus your limited “free” time throughout the rest of the admissions season.

How to Approach Data Sufficiency Questions on the GMAT

With regard to the GMAT, raw intellectual horsepower helps, but it is not everything. Manhattan Prep’s Stacey Koprince teaches you how to perform at your best on test day by using some common sense.

If you have only recently started studying for the GMAT (or even if you have been studying for a while!), you are likely annoyed by Data Sufficiency (DS). What is this weird question type, and why do they ask it? More importantly, how do we handle it?

What is Data Sufficiency?

The GMAT really is not a math test. (Neither is the GRE.) These tests are actually trying to test us on our “executive reasoning” skills—that is, how well we make decisions and prioritize when faced with too many things to do in too little time.

So, DS questions are really about quickly analyzing a collective set of data and trying to figure out which pieces you need to do the job. Imagine your boss dumping a bunch of stuff on you and saying, “Hey, our client wants to know whether they should raise the price on this product. Can you answer that question from this data? If so, which pieces do we need to prove the case?”

We do, of course, have to do some math—and sometimes that math is quite annoying. We usually do not, however, have to do as much as we usually do on regular “problem solving” questions (the normal Quant questions).

How does Data Sufficiency work?

First, we are given what is called the “question stem.” Here is an example:

How old is Oliver?

The question stem asks us a question, naturally. It can also provide information, such as the following:

If Oliver’s age is even, how old is Oliver?

Now we know that Oliver’s age is an even number. If they told me, for example, that Oliver is either 13 or 14 years old, now I know he is definitely 14, because I should only consider even numbers as possible values for Oliver’s age.

Next, the problem will give us two statements, such as the following:

MBA Admissions Myths Destroyed: The “Right” Path

Each year, we hear from a few people who think their professional position is a liability when applying to business school: “I am a school teacher. Maybe if I transitioned to consulting, I would get into the school of my dreams.” Although bankers and consultants are certainly much more represented at top business schools than teachers, this is not evidence of a bias among admissions officers but of the nature of those workplaces. Most bankers and consultants need an MBA to progress past a certain point on the corporate ladder, whereas no teacher truly needs an MBA to progress.

What is more important than focusing on an industry or on a particular community endeavor is your performance in your endeavors. Classes at top-ranked MBA programs have space for high-performing consultants, bankers, and teachers—but not for low-performing individuals in any field. Top programs want a diversity of experience in their classrooms and the promise of achievement going forward, not a specific job title.


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