As a child, we would all have enjoyed our math sessions that involved visual representation. Bar graphs and pie-charts generally break the monotony of mathematics. Little would we have imagined, though, that the same topic that we loved as a ten-year-old would eventually become a challenge to overcome when we graduate!
One might wonder how things as simple as graphs and charts have become such a challenge to students who are capable of solving several other core mathematical problems.
Data Interpretation problems are like questions in an open-book test. The answers are there before you. The challenge is to read the graph properly to find the data and connect the question to the correct data– no complex mathematical concepts involved, only simple ones like ratio, proportions, percentages, and statistical measure like Mean, Median and Mode.
In the GRE Quant section, a test-taker can encounter 4 to 6 Data Interpretation type problems. Each problem will have not one but two representations of raw data along with a description. The difficulty arises because of the hidden challenges in solving each problem. They could fall into any of the following buckets:
- Some data is being given indirectly
- Information has to be derived from the given data
- You have misunderstood what the question expects of you
- You’re having trouble with approximation of values
And the questions should be solved within a maximum of 3 minutes! Doesn’t it sound like a challenge now?
In this webinar, Mrs. Sowmya Subramaniam (M.S Mathematics, San Jose State University) explained some techniques like the SOLVE, that would help you to solve the Data Interpretation type questions in the GRE Quant quickly and correctly.
Below is the recording of the live webinar. Here you can learn to solve 4 different types of Data Interpretation questions.
The detailed explanation for each of the questions solved during the webinar can be found here.