Problem StatementDoes this scenario resonate with you?- In a GI question, you read through the dataset quickly.
- You take a cursory glance at the associated graph with the intent to get the specific data from the graph once you understand what is being asked.
- You then read the question statement.
- And now you get a bit anxious since you realize that you need to read the dataset and the graph in a bit more detail to make sense of what the question statement is asking.
If your answer is yes, then read ahead. If your answer is no, then your accuracy in hard GI questions should be good. So for additional practice read ahead.
Navigating this articleTranslation is a very critical process skill one needs to master to be able to correctly solve Data Insights questions. In this article, we have shortlisted three Official Guide HARD questions. - First, solve the question on your own.
- Then read the explanation to recognize how translation plays a key role.
- Then watch the detailed video solution to cement your understanding.
QUESTION 1 – “AS OF THE BEGINNING OF JUNE 2012…”.Solve the question
Faltering Point: Did you end up selecting version 4 as the answer for blank 4? If then, then failed to translate the word “throughout” in the question statement properly.
Corrective Action: Read each word of the question statement carefully – here that word is “throughout”.
Watch the video solution.
QUESTION 2 – “TWO CHARTS SHOW HOW FEMALE AND MALE…”.Solve the question
Faltering Point: Observe carefully that this question specifies a qualitative scale that if not translated properly can leave you confused when you see the question statement “…they ate the food at most rarely/infrequently/occasionally.”
Corrective Action: Ensure that you translate each aspect of the question dataset with the intent of “owning the dataset”.
Watch the video solution.
QUESTION 3 – “TWO STUDENTS ARE DISCUSSING THREE THEMES…”.Solve the question
Faltering Point: In this question, failure to translate the scenario presented in the dataset about Anika’s take on the themes into the new Venn diagram for Anika will result in you remaining clueless about answering the question asked.
Corrective Action: Do not skim through the information in the dataset. Read the information with the mindset of “owning the dataset”.
Watch the video solution.
SummaryData Insights questions demand a thorough and meticulous approach. Adopting the mindset of "owning the dataset" is crucial. Superficially skimming through the data is a common pitfall to avoid.
Consider the underlying reason such questions are integral to the GMAT: one such reason: they simulate the analytical rigor required in MBA-level case studies. Reflect on your future academic endeavors—will skimming suffice, or will a deep, comprehensive understanding be necessary to distill and analyze key insights effectively?