- Have you started studying for the GRE?
- Do you need help with the Quants section?
- Do you want to know how to master the GRE Data Interpretation section?
You’ve come to the correct place if you answered ‘Yes’ to any of the above questions! But, to comprehend how to approach Data Interpretation in GRE, we must first understand what it is.
What Exactly is DI GRE?
Data Interpretation (DI) is part of five categories of problems in the Quantitative curriculum. They demand you to assess and interpret data, which is frequently presented in pictorial form, and then answer questions based on it. This could be shown in a table, graph, or chart, followed by multiple-choice or numeric entry questions.
As an example:
In which year were the company’s imports to exports greater than 0.3 but less than 1.1? Indicate all of these years.
Some GRE data interpretation questions are easy, but others may be harder because you may be asked to figure out if the diagram gives you enough information to answer the question (“Not enough information is sometimes a correct option”).
What is the Significance of The DI GRE?
DI is an essential portion of the Quant sections of the GRE exam because it measures several skills. It assesses your ability to comprehend, visualize, and extrapolate information, which is crucial in graduate school if you want to work in the STEM fields.
Data Interpretation on the GRE does not necessitate an understanding of some of the more academically challenging arithmetic concepts required to tackle other parts of the exam; instead, it assesses a more cognitive aspect of your profile. A picture is worth 1,000 words, and figures/graphs/charts help you comprehend what’s going on without reading a long piece. Graphs allow you to learn a lot of information in a shorter amount of time, but they also raise the chances of inaccuracy. There are no pre-learned formulae you may use, so you must rely on your brains to get it right. The GRE assesses your interpretive skills here.
As a result, if you want to score 160+ on the Quant portion, you must devote enough time to understanding and practicing Data Interpretation in GRE. Each Quant segment will have 4 to 5 questions on average.
The DI GRE has a 20% weightage in the Quant portion!
Some Common Mistakes to Avoid for DI GRE!
We discovered that most students made similar mistakes when we attempted such questions. There are 4 to 5 DI questions per section, and completing them properly is critical if you want to score 160 or higher. We’ve compiled a list of the most common types of mistakes students make:
Data Misinterpretation Due to Impatience or Overconfidence
Remember how we said that Data Interpretation in GRE questions is difficult at first? This is the reason. Most students get DI questions wrong more often than not because they don’t know how to solve them but because they know how to solve them too well…
That’s correct! Most students will encounter a DI question that appears to be relatively simple at first sight and get carried away, not giving it any attention. This is a blunder. Being overconfident and rushing through such questions to save a few seconds may leave you exposed to blunders. The answer to DI GRE questions may not always be obvious. So, take your time, think about what the question asks, and then try it.
This is another type of blunder that most students make when saving a few seconds. While time management isn’t exactly a Data Interpretation in GRE error, it does play a role. According to our student data, these questions typically take longer to solve, so it is vital to remember to balance your Quant section.
Because these questions do not test memory or any previously learned skills but rather your interpretation and extrapolation ability, they will be challenging to answer, especially for newbies. GRE Data Interpretation requires continuous practice to master, and practice makes perfect!
Details are Being Overlooked
When faced with these queries, it is also rather usual to overlook essential aspects of the figure. Because this question does not provide any comprehensive-textual data and instead relies on your ability to read and evaluate the figure, students may overlook minute features that could contain the key to determining the correct answer.
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