The concept being tested here is weighted percentage with a hidden ratio constraint — the kind that looks like a straightforward percentage problem until you realise the two groups are not independent.
The key insight most people miss: the problem doesn't tell you how many candidates or recruiters there are. You have to let the constraint pin down the ratio between them.
Step 1 — Set up variables.
Let C = number of candidates, R = number of recruiters. Total people = C + R.
Step 2 — Use the session constraint to relate C and R.
"One candidate can have a session with only one recruiter per day; one recruiter meets only one candidate per day." This means the number of sessions = number of participating candidates = number of participating recruiters.
So: 10% of C = 50% of R
→ 0.10C = 0.50R → C = 5R
Step 3 — Count total session participants.
Candidates in sessions + Recruiters in sessions
= 0.10C + 0.50R
= 0.10(5R) + 0.50R
= 0.50R + 0.50R = R
Step 4 — Express as a percentage of everyone.
Total people = C + R = 5R + R = 6R
% who participated = R / 6R = 1/6 ≈ 16.67% → Answer: B
Common trap: The mistake in an earlier reply was assuming C = 500 and R = 100 freely, then computing (50+50)/600 = 10%. That setup actually does satisfy C = 5R correctly — but the arithmetic went wrong at the end. 100 total session participants out of 600 total people = 100/600 = 16.67%, not 10%. The numerator should be R (100), not 50+50 recounted as if they're different people.
Takeaway: Any time a problem says "X% of group A = Y% of group B," write it as an equation immediately — it locks in the ratio between the groups and everything else follows cleanly.