Key Concept Being Tested: Work and Rate problems in Data Sufficiency — specifically whether you can determine a quantity (boxes assembled solo) when rates and times are split across two phases.
Common Trap: Statement 1 gives a combined rate and Statement 2 gives time — students often think "rate × time = work, so S2 alone gives me boxes assembled together, and I can subtract from 96 to get Leo's solo output." This feels right but breaks down because you don't know Leo's individual rate, making it impossible to compute his solo boxes from S2 alone.
Step 1 — Set up variables.
Let L = Leo's rate (boxes/hour), H = Hugo's rate (boxes/hour), t = hours Leo worked alone.
Boxes Leo assembled solo = L × t
Total: L·t + (L + H)·T_H = 96
Step 2 — Test Statement 1 alone.
"Working together, Leo and Hugo assemble 24 boxes per hour." → L + H = 24
Without knowing T_H (how long they worked together), we can't use this. L and t individually remain unknown. Statement 1 alone: INSUFFICIENT.
Step 3 — Test Statement 2 alone.
"Leo and Hugo worked together for 3 hours." → T_H = 3
Total equation becomes: L·t + (L + H)·3 = 96. We still have three unknowns (L, H, t) and one equation. Many solutions exist. Statement 2 alone: INSUFFICIENT.
Step 4 — Combine both statements.
From S1: L + H = 24. From S2: T_H = 3.
Substituting: L·t + 24 × 3 = 96 → L·t + 72 = 96 → L·t = 24
The question asks "how many boxes had Leo assembled by the time Hugo started?" = L·t = 24 boxes.
A single, definitive answer. Both together: SUFFICIENT.
Answer: C
Takeaway: In two-phase Work and Rate DS problems, neither a rate alone nor a time alone is enough — you need both to pin down the work done in that phase, and the combination often resolves cleanly even when it looks like there are too many unknowns.