This is a great overlapping sets problem that tests whether you can extract the specific group you need from ratio and percentage information.
**Understanding the question:** We need to know if ≥ 20% of total students aspire to do masters.
**Statement 1: Male to female ratio is 5:7.**
This tells us that out of every 12 students, 5 are male and 7 are female. But we have no information about who aspires to do masters. **Insufficient.**
**Statement 2: Of all students, 30% of males and 22% of females aspire to do masters.**
We know the percentages within each gender group, but we don't know the split between males and females in the school.
Let's test extremes:
- If the school is 100% male: 30% aspire (≥ 20%, answer is YES)
- If the school is 100% female: 22% aspire (≥ 20%, answer is YES)
- If the school is 50-50: 0.5(30%) + 0.5(22%) = 26% (≥ 20%, answer is YES)
Actually, any combination gives us ≥ 20% since both percentages are above 20%. Wait, let me verify this logic more carefully.
Actually, since both 30% and 22% are each individually ≥ 20%, any weighted average of these two will be ≥ 20%. **Sufficient.**
**Combined:** Not needed.
**Answer: B (Statement 2 alone is sufficient)**
**Common trap:** Thinking you need the ratio from Statement 1 to weight the percentages in Statement 2. But when both subgroup percentages exceed the threshold, you don't need to know the group sizes.
**Takeaway:** In overlapping sets, if all subgroups meet a threshold individually, the combined group automatically meets it too—no need to calculate the exact weighted average.