Finding maximum and minimum in inequality word problem
An SAT Math micro-topic under Linear inequality word problems (Algebra). Free to read — no account needed.
These problems limit a total with "at most" (an upper cap, ≤) or "at least" (a lower floor, ≥). Because the quantities compete for that total, one is largest exactly when the other is smallest — so to maximize one variable, minimize the competing one, and to minimize one, maximize the other.
Here is a maximum. A student spends at most $20 on pens ($2 each) and notebooks ($5 each), buying at least one of each. To buy the most pens, buy as few notebooks as possible — just one: 2p+5≤20, so 2p≤15 and p≤7.5. Rounding down, the most pens is 7.
Here is a minimum. A club must raise at least $25 selling badges ($2 each) and mugs ($5 each), with at most 4 mugs. To sell the fewest badges, sell as many mugs as allowed — 4 mugs raise $20: 2b+20≥25, so 2b≥5 and b≥2.5. Rounding up, the fewest badges is 3.
Notice the rounding rule when the variable counts whole objects: for a maximum, round the bound down (you cannot go over the cap); for a minimum, round up (you must still reach the floor).
Worked examples
A baker has at most 20 hours for cakes (3 hours each) and pies (2 hours each), making at least one of each. What is the most pies? To maximize pies, bake the fewest cakes — one, using 3 hours: 2p+3≤20, so 2p≤17 and p≤8.5. Rounding down, the most pies is 8.
A team needs at least 40 points, scoring 5 per goal and 2 per assist, with at most 6 goals. What is the fewest assists? To minimize assists, score the most goals — 6 goals give 30 points: 2a+30≥40, so 2a≥10 and a≥5. The fewest assists is 5.
A stock must total at least 50 items, using large packs of 8 and small packs of 3, with at most 5 large packs. What is the fewest small packs? To minimize small packs, use the most large packs — 5 large packs give 40 items: 3s+40≥50, so 3s≥10 and s≥3.3. Rounding up, the fewest small packs is 4.
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