This type of question tests both your ability to read charts carefully and apply basic statistical concepts. Let me walk you through the key insights you need to solve both parts.
For the first blank (country most likely to have a woman chosen):Let's think about what "most likely" really means here. If we're randomly selecting one member from each country's 1979 delegation, we need to find which country had the
highest proportion of women - not just the most women in total.
Here's your approach:Looking at the 1979 bars (the first bar in each pair), you need to compare the blue segment (women) to the total bar height for each country.
From the chart, let's estimate for the key countries:
- Denmark: roughly 5 women out of 16 total = \(\frac{5}{16}\) ≈ 31%
- France: about 18 women out of 81 total = \(\frac{18}{81}\) ≈ 22%
- Netherlands: around 6 women out of 25 total = \(\frac{6}{25}\) = 24%
Notice how Denmark, despite having fewer women in absolute numbers than France, has the highest
percentage of women. This is the critical insight - we're looking at proportions, not totals.
For the second blank (median country by member count):This one's about ordering and finding the middle value. With 9 countries total, the median will be the 5th country when arranged from smallest to largest.
Looking at the 1979 bar heights, you can see:
- Smallest: Luxembourg (6 members)
- Then: Ireland (15), Denmark (16), Belgium (24)
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5th position: Netherlands (25)- Largest group: Germany, France, Italy, UK (all with 81 members each)
So Netherlands sits right in the middle - it's your median country.
Key Takeaway: These Data Insights questions often test whether you understand the difference between absolute values and proportions, and whether you can properly order and identify positional statistics like the median.
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Want to master the systematic framework for tackling all variations of proportion-based Data Insights questions? You can check out the
complete step-by-step solution on Neuron by e-GMAT, which includes alternative approaches and time-saving techniques for similar chart interpretation problems. You can also explore
other GMAT official questions with detailed solutions here to build consistent accuracy in Data Insights.