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Algebra Quiz

Algebra Quiz: Modeling With Equation Inequalityconstraints

Practice Modeling With Equation Inequalityconstraints in Algebra with focused quiz questions that help you check what you know, review explanations, and build confidence with test-style prompts.

Question 1 / 20

0 of 20 answered

A community garden is planting tomatoes and peppers. Let xxx = number of tomato plants and yyy = number of pepper plants.

Constraints:

  • There is space for at most 30 plants total: x+y≤30x+y\le 30x+y≤30.
  • Tomato plants must be at least 10: x≥10x\ge 10x≥10.
  • Each tomato plant needs 2 minutes/day of watering and each pepper plant needs 3 minutes/day; they have at most 75 minutes/day: 2x+3y≤752x+3y\le 752x+3y≤75.
  • xxx and yyy must be nonnegative whole numbers.

Is the point (12,6)(12, 6)(12,6) a viable solution? Explain by identifying whether it satisfies all constraints.

Select an answer to continue

What this quiz covers

This quiz focuses on Modeling With Equation Inequalityconstraints, giving you a quick way to practice the rules, question types, and explanations that matter most for Algebra.

How to use this quiz

Try each quiz question before looking at the correct answer. Use the explanations to review missed ideas, then come back to similar questions until the pattern feels familiar.

All questions

Question 1

A community garden is planting tomatoes and peppers. Let xxx = number of tomato plants and yyy = number of pepper plants.

Constraints:

  • There is space for at most 30 plants total: x+y≤30x+y\le 30x+y≤30.
  • Tomato plants must be at least 10: x≥10x\ge 10x≥10.
  • Each tomato plant needs 2 minutes/day of watering and each pepper plant needs 3 minutes/day; they have at most 75 minutes/day: 2x+3y≤752x+3y\le 752x+3y≤75.
  • xxx and yyy must be nonnegative whole numbers.

Is the point (12,6)(12, 6)(12,6) a viable solution? Explain by identifying whether it satisfies all constraints.

  1. Viable; it satisfies x+y≤30x+y\le 30x+y≤30, x≥10x\ge 10x≥10, 2x+3y≤752x+3y\le 752x+3y≤75, and uses nonnegative whole numbers. (correct answer)
  2. Nonviable; it violates the space constraint because 12+6>3012+6>3012+6>30.
  3. Nonviable; it violates the watering constraint because 2(12)+3(6)>752(12)+3(6)>752(12)+3(6)>75.
  4. Nonviable; it violates the minimum tomato constraint because 12<1012<1012<10.

Explanation: This question tests your ability to translate real-world constraints into mathematical inequalities (and equations) and determine whether potential solutions are viable—meaning they satisfy all constraints and make sense in the context. A solution is viable (feasible) if it satisfies EVERY SINGLE constraint AND makes sense in the real-world context (like no negative quantities, whole items when you can't buy half an item, etc.). If even one constraint is violated, or if the solution is unrealistic, it's nonviable. Think of constraints like security checkpoints—you need to pass through all of them! To check if (12, 6) is viable, we substitute into each constraint: Space constraint: 12 + 6 = 18 ≤ 30 ✓ (true). Minimum tomatoes: 12 ≥ 10 ✓ (true). Watering time: 2(12) + 3(6) = 24 + 18 = 42 ≤ 75 ✓ (true). Also checking context: 12 and 6 are both nonnegative whole numbers ✓. Conclusion: viable because all constraints are satisfied. Choice A is correct because it properly checks all constraints showing (12, 6) is viable and correctly identifies that all inequalities are satisfied. Choice B says the point is nonviable but doesn't check correctly: it claims 12 + 6 > 30, but 12 + 6 = 18, which is less than 30. To determine viability, you MUST check every single constraint accurately—missing even one or calculating incorrectly can lead to rejecting a perfectly good solution! The viability-checking procedure: Make a checklist of every constraint. For each one, substitute the point and check if it's satisfied. Write 'Yes' or 'No' next to each constraint. If even one 'No' appears, the solution is nonviable—identify which constraint(s) failed. Also do a reality check: negative quantities? fractional items when must be whole? These context violations also make solutions nonviable!

Question 2

A school club is buying snacks for an event. Let xxx be the number of boxes of granola bars and yyy be the number of boxes of fruit snacks. Each granola bar box costs \6andeachfruitsnackboxcostsand each fruit snack box costsandeachfruitsnackboxcosts$4.Theclubhasatmost. The club has at most .Theclubhasatmost$60tospendandneedsatleast12totalboxes.Also,to spend and needs at least 12 total boxes. Also,tospendandneedsatleast12totalboxes.Also,xandandandy$ cannot be negative.

Which system of inequalities models these constraints?

  1. {6x+4y≥60, x+y≥12, x≥0, y≥0}\{6x+4y\ge 60,\ x+y\ge 12,\ x\ge 0,\ y\ge 0\}{6x+4y≥60, x+y≥12, x≥0, y≥0}
  2. {6x+4y≤60, x+y≤12, x≥0, y≥0}\{6x+4y\le 60,\ x+y\le 12,\ x\ge 0,\ y\ge 0\}{6x+4y≤60, x+y≤12, x≥0, y≥0}
  3. {6x+4y≤60, x+y≥12, x≥0, y≥0}\{6x+4y\le 60,\ x+y\ge 12,\ x\ge 0,\ y\ge 0\}{6x+4y≤60, x+y≥12, x≥0, y≥0} (correct answer)
  4. {10x+4y≤60, x+y≥12, x≥0, y≥0}\{10x+4y\le 60,\ x+y\ge 12,\ x\ge 0,\ y\ge 0\}{10x+4y≤60, x+y≥12, x≥0, y≥0}

Explanation: This question tests your ability to translate real-world constraints into mathematical inequalities (and equations) and determine whether potential solutions are viable—meaning they satisfy all constraints and make sense in the context. When setting up constraints from context, look for key phrases: 'at most' or 'no more than' → ≤, 'at least' or 'minimum' → ≥, 'exactly' or 'must be' → =, 'less than' → <, 'more than' → >. Also, don't forget implicit constraints like x ≥ 0 and y ≥ 0 (can't have negative quantities) or x, y must be integers (if counting discrete items). Let's identify all the constraints from the snack-buying scenario: the budget 'at most $60' gives us 6x + 4y ≤ 60, the requirement 'at least 12 total boxes' gives us x + y ≥ 12, and non-negativity gives us x ≥ 0, y ≥ 0. Putting this together as a system: {6x + 4y ≤ 60, x + y ≥ 12, x ≥ 0, y ≥ 0}. This system captures all the limitations and requirements of the situation. Choice C is correct because it includes all constraints with correct inequality directions. Choice B is tempting but has the total boxes inequality backwards: 'at least 12' means ≥ 12, not ≤ 12, which would incorrectly limit to no more than 12 boxes instead of requiring a minimum. The constraint-writing recipe: (1) List EVERY limitation mentioned in the problem (budget, time, capacity, minimums, etc.), (2) For each, identify the inequality symbol from key words ('at most' → ≤, 'at least' → ≥, etc.), (3) Write the mathematical inequality using the costs, rates, or quantities from context, (4) Don't forget implicit constraints like x ≥ 0, y ≥ 0 (non-negativity) or x, y integers (if discrete). Make sure your system captures EVERY constraint!

Question 3

A theater is choosing how many balcony seats and floor seats to sell. Let xxx = balcony tickets and yyy = floor tickets. The theater can sell at most 300 total tickets: x+y≤300x+y\le 300x+y≤300. Fire code requires at least 120 floor tickets to be sold for staffing plans: y≥120y\ge 120y≥120. Also, x≥0x\ge 0x≥0 and y≥0y\ge 0y≥0. Which point is nonviable?

  1. (150,120)(150,120)(150,120)
  2. (100,200)(100,200)(100,200)
  3. (210,110)(210,110)(210,110) (correct answer)
  4. (0,120)(0,120)(0,120)

Explanation: This question tests your ability to translate real-world constraints into mathematical inequalities (and equations) and determine whether potential solutions are viable—meaning they satisfy all constraints and make sense in the context. A solution is viable (feasible) if it satisfies EVERY SINGLE constraint AND makes sense in the real-world context (like no negative quantities, whole items when you can't buy half an item, etc.). If even one constraint is violated, or if the solution is unrealistic, it's nonviable. Think of constraints like security checkpoints—you need to pass through all of them! Let's check each point against all constraints: For (150, 120): Total tickets: 150 + 120 = 270 ≤ 300 ✓, Floor minimum: 120 ≥ 120 ✓, Non-negative: both ≥ 0 ✓ → viable. For (100, 200): Total tickets: 100 + 200 = 300 ≤ 300 ✓, Floor minimum: 200 ≥ 120 ✓, Non-negative: both ≥ 0 ✓ → viable. For (210, 110): Total tickets: 210 + 110 = 320 ≤ 300 ✗ (320 > 300), Floor minimum: 110 ≥ 120 ✗ (110 < 120) → nonviable (violates both!). For (0, 120): Total tickets: 0 + 120 = 120 ≤ 300 ✓, Floor minimum: 120 ≥ 120 ✓, Non-negative: both ≥ 0 ✓ → viable. Notice how (210, 110) fails because it violates BOTH constraints—too many total tickets AND not enough floor tickets! Choice C is correct because it correctly identifies the point (210, 110) as nonviable due to violating the total tickets constraint (320 > 300) and the floor tickets minimum (110 < 120). Choice A would be viable but (150, 120) actually satisfies all constraints: 150 + 120 = 270 ≤ 300 and 120 ≥ 120. Don't be fooled—a point needs to violate at least one constraint to be nonviable! The viability-checking procedure: Make a checklist of every constraint. For each one, substitute the point and check if it's satisfied. Write 'Yes' or 'No' next to each constraint. If even one 'No' appears, the solution is nonviable—identify which constraint(s) failed. When checking viability, substitute carefully: if the point is (210, 110), that means x = 210 and y = 110. Substitute those values into EVERY inequality and equation. It's tedious but necessary—one missed check could mean accepting an infeasible solution!

Question 4

A student is buying notebooks and pens. Let xxx be the number of notebooks and yyy be the number of pens.

  • Notebooks cost \4eachandpenscosteach and pens costeachandpenscost$1each.Thestudenthasatmosteach. The student has at mosteach.Thestudenthasatmost$25:: :4x+y\le 25$.
  • The student needs at least 8 items total: x+y≥8x+y\ge 8x+y≥8.
  • Notebooks and pens must be whole numbers (you can’t buy a fraction of an item), and x,y≥0x,y\ge 0x,y≥0.

Which statement is true about the point (x,y)=(3.5,6)(x,y)=(3.5,6)(x,y)=(3.5,6)?

  1. Nonviable; it violates the whole-number requirement even though it satisfies the inequalities. (correct answer)
  2. Nonviable; it violates x+y≥8x+y\ge 8x+y≥8 because 3.5+6=7.5<83.5+6=7.5<83.5+6=7.5<8.
  3. Viable; it satisfies 4x+y≤254x+y\le 254x+y≤25 and x+y≥8x+y\ge 8x+y≥8.
  4. Nonviable; it violates the budget constraint because 4(3.5)+6=26>254(3.5)+6=26>254(3.5)+6=26>25.

Explanation: This question tests your ability to translate real-world constraints into mathematical inequalities (and equations) and determine whether potential solutions are viable—meaning they satisfy all constraints and make sense in the context. A solution is viable (feasible) if it satisfies EVERY SINGLE constraint AND makes sense in the real-world context (like no negative quantities, whole items when you can't buy half an item, etc.). If even one constraint is violated, or if the solution is unrealistic, it's nonviable. Think of constraints like security checkpoints—you need to pass through all of them! To check if (3.5, 6) is viable, we substitute into each constraint: for 4x + y ≤ 25, 4(3.5) + 6 = 14 + 6 = 20 ≤ 25 (true); for x + y ≥ 8, 3.5 + 6 = 9.5 ≥ 8 (true); for x ≥ 0, y ≥ 0 (true). But checking context: must be whole numbers, and 3.5 is fractional, which is impossible for items. Conclusion: nonviable because violates whole-number requirement. Choice C is correct because it correctly identifies that it violates the whole-number requirement even though it satisfies the inequalities. Choice B says it's nonviable but incorrectly checks the budget: 20 ≤ 25 is satisfied, not violated. Remember, mathematical satisfaction isn't enough—context matters! The viability-checking procedure: Make a checklist of every constraint. For each one, substitute the point and check if it's satisfied. Write 'Yes' or 'No' next to each constraint. If even one 'No' appears, the solution is nonviable—identify which constraint(s) failed. Also do a reality check: negative quantities? fractional items when must be whole? These context violations also make solutions nonviable! Remember: viable means 'it could actually happen in real life.' Mathematically satisfying inequalities is necessary, but not sufficient. Ask yourself: In this context, can quantities be negative? Can they be fractions? Are there other real-world restrictions? A solution can satisfy all the math but still be nonviable if it violates reality!

Question 5

A school club is buying notebooks and pens for a fundraiser. Notebooks cost 3eachandpenscost3 each and pens cost 3eachandpenscost2 each. The club has at most $60 to spend and needs to buy at least 25 total items.

Let xxx = number of notebooks and yyy = number of pens.

Which system of inequalities models all constraints (including that you can’t buy negative items)?

  1. {3x+2y≤60,  x+y≤25,  x≥0,  y≥0}\{3x+2y\le 60,\; x+y\le 25,\; x\ge 0,\; y\ge 0\}{3x+2y≤60,x+y≤25,x≥0,y≥0}
  2. {3x+2y≥60,  x+y≥25,  x≥0,  y≥0}\{3x+2y\ge 60,\; x+y\ge 25,\; x\ge 0,\; y\ge 0\}{3x+2y≥60,x+y≥25,x≥0,y≥0}
  3. {3x+2y≤60,  x+y≥25,  x≥0,  y≥0}\{3x+2y\le 60,\; x+y\ge 25,\; x\ge 0,\; y\ge 0\}{3x+2y≤60,x+y≥25,x≥0,y≥0} (correct answer)
  4. {3x+2y≤60,  x+y≥25}\{3x+2y\le 60,\; x+y\ge 25\}{3x+2y≤60,x+y≥25}

Explanation: This question tests your ability to translate real-world constraints into mathematical inequalities (and equations) and determine whether potential solutions are viable—meaning they satisfy all constraints and make sense in the context. When setting up constraints from context, look for key phrases: 'at most' or 'no more than' → ≤, 'at least' or 'minimum' → ≥, 'exactly' or 'must be' → =, 'less than' → <, 'more than' → >. Also, don't forget implicit constraints like x ≥ 0 and y ≥ 0 (can't have negative quantities) or x, y must be integers (if counting discrete items). Let's identify all the constraints from the fundraiser situation: the budget 'at most $60' gives us 3x + 2y ≤ 60, the requirement 'at least 25 total items' gives us x + y ≥ 25, and the implicit non-negativity gives us x ≥ 0 and y ≥ 0. Putting this together as a system: {3x + 2y ≤ 60, x + y ≥ 25, x ≥ 0, y ≥ 0}. This system captures all the limitations and requirements of the situation. Choice C is correct because it includes all constraints with correct inequality directions. Choice A has the inequality direction backwards: 'at least 25' means ≥, not ≤. This is a super common error! When total items 'at least 25,' we need x + y ≥ 25, meaning we can't fall below 25. The 'at least' puts a floor, not a ceiling. The constraint-writing recipe: (1) List EVERY limitation mentioned in the problem (budget, time, capacity, minimums, etc.), (2) For each, identify the inequality symbol from key words ('at most' → ≤, 'at least' → ≥, etc.), (3) Write the mathematical inequality using the costs, rates, or quantities from context, (4) Don't forget implicit constraints like x ≥ 0, y ≥ 0 (non-negativity) or x, y integers (if discrete). Make sure your system captures EVERY constraint!

Question 6

A small print shop makes posters and flyers. Let xxx be the number of posters and yyy be the number of flyers.

Constraints:

  • Each poster takes 3 minutes and each flyer takes 1 minute.
  • The shop has at most 120 minutes available: 3x+y≤1203x+y\le 1203x+y≤120.
  • They must make at least 20 total items: x+y≥20x+y\ge 20x+y≥20.
  • They can make at most 50 flyers: y≤50y\le 50y≤50.
  • x≥0x\ge 0x≥0 and y≥0y\ge 0y≥0.

Which constraints does the point (x,y)=(30,40)(x,y)=(30,40)(x,y)=(30,40) violate?

  1. It violates no constraints (it is viable).
  2. It violates both 3x+y≤1203x+y\le 1203x+y≤120 and x+y≥20x+y\ge 20x+y≥20.
  3. It violates y≤50y\le 50y≤50 only.
  4. It violates 3x+y≤1203x+y\le 1203x+y≤120 only. (correct answer)

Explanation: This question tests your ability to translate real-world constraints into mathematical inequalities (and equations) and determine whether potential solutions are viable—meaning they satisfy all constraints and make sense in the context. Checking viability is systematic: (1) Substitute the proposed solution into each constraint, (2) Verify each inequality or equation is satisfied, (3) Check context realism (non-negative? whole numbers if needed?). If everything checks out, it's viable. If anything fails, it's nonviable—and you should explain which constraint was violated. To check if (30, 40) is viable, we substitute into each constraint: Checking 3x + y ≤ 120: 3(30) + 40 = 90 + 40 = 130 ≤ 120 ✗ (false, since 130 > 120). Checking x + y ≥ 20: 30 + 40 = 70 ≥ 20 ✓ (true). Checking y ≤ 50: 40 ≤ 50 ✓ (true). Checking x ≥ 0: 30 ≥ 0 ✓ and y ≥ 0: 40 ≥ 0 ✓. Conclusion: nonviable because it violates the time constraint 3x + y ≤ 120. Choice A is correct because it properly checks all constraints showing that only 3x + y ≤ 120 is violated (130 > 120). Choice D says the point is viable but doesn't check all constraints: it misses that 3(30) + 40 = 130 exceeds the 120-minute limit. To determine viability, you MUST check every single constraint—missing even one can lead to accepting an impossible solution! When checking viability, substitute carefully: if the point is (30, 40), that means x = 30 and y = 40. Substitute those values into EVERY inequality and equation. For example, if one constraint is 3x + y ≤ 120, check: 3(30) + 40 = 90 + 40 = 130 ≤ 120? No! Do this for every single constraint. It's tedious but necessary—one missed check could mean accepting an infeasible solution!

Question 7

A school club is buying notebooks and pens for a fundraiser. Let xxx = number of notebooks and yyy = number of pens. Notebooks cost \3eachandpenscosteach and pens costeachandpenscost$2each.Theclubhasatmosteach. The club has at mosteach.Theclubhasatmost$60tospend,andtheyneedatleast10totalitems.Also,to spend, and they need at least 10 total items. Also,tospend,andtheyneedatleast10totalitems.Also,xandandandy$ must be non-negative whole numbers. Which system of constraints models this situation?

  1. {3x+2y≥60, x+y≥10, x≥0, y≥0}\{3x+2y\ge 60,\ x+y\ge 10,\ x\ge 0,\ y\ge 0\}{3x+2y≥60, x+y≥10, x≥0, y≥0}
  2. {3x+2y≤60, x+y≥10, x≥0, y≥0}\{3x+2y\le 60,\ x+y\ge 10,\ x\ge 0,\ y\ge 0\}{3x+2y≤60, x+y≥10, x≥0, y≥0} (correct answer)
  3. {3x+2y≤60, x+y≤10, x≥0, y≥0}\{3x+2y\le 60,\ x+y\le 10,\ x\ge 0,\ y\ge 0\}{3x+2y≤60, x+y≤10, x≥0, y≥0}
  4. {5x+2y≤60, x+y≥10, x≥0, y≥0}\{5x+2y\le 60,\ x+y\ge 10,\ x\ge 0,\ y\ge 0\}{5x+2y≤60, x+y≥10, x≥0, y≥0}

Explanation: This question tests your ability to translate real-world constraints into mathematical inequalities (and equations) and determine whether potential solutions are viable—meaning they satisfy all constraints and make sense in the context. When setting up constraints from context, look for key phrases: 'at most' or 'no more than' → ≤, 'at least' or 'minimum' → ≥, 'exactly' or 'must be' → =, 'less than' → <, 'more than' → >. Also, don't forget implicit constraints like x ≥ 0 and y ≥ 0 (can't have negative quantities) or x, y must be integers (if counting discrete items). Let's identify all the constraints from 'notebooks cost 3each,penscost3 each, pens cost 3each,penscost2 each, at most 60tospend,needatleast10totalitems′:Thebudgetconstraint′atmost60 to spend, need at least 10 total items': The budget constraint 'at most 60tospend,needatleast10totalitems′:Thebudgetconstraint′atmost60' gives us 3x + 2y ≤ 60. The minimum items constraint 'at least 10 total items' gives us x + y ≥ 10. The non-negativity constraints (can't buy negative items) give us x ≥ 0 and y ≥ 0. Putting this together as a system: {3x + 2y ≤ 60, x + y ≥ 10, x ≥ 0, y ≥ 0}. This system captures all the limitations and requirements of the situation. Choice B is correct because it includes all constraints with correct inequality directions: the budget constraint uses ≤ (at most), the minimum items constraint uses ≥ (at least), and non-negativity constraints are included. Choice A has the inequality direction backwards: 'at most 60′means≤(canequalorbeless),not≥.Thisisasupercommonerror!Whentotalcost′atmost60' means ≤ (can equal or be less), not ≥. This is a super common error! When total cost 'at most 60′means≤(canequalorbeless),not≥.Thisisasupercommonerror!Whentotalcost′atmost60,' we need cost ≤ 60, meaning we can't exceed 60. The 'at most' puts a ceiling, not a floor. The constraint-writing recipe: (1) List EVERY limitation mentioned in the problem (budget, time, capacity, minimums, etc.), (2) For each, identify the inequality symbol from key words ('at most' → ≤, 'at least' → ≥, etc.), (3) Write the mathematical inequality using the costs, rates, or quantities from context, (4) Don't forget implicit constraints like x ≥ 0, y ≥ 0 (non-negativity) or x, y integers (if discrete). Make sure your system captures EVERY constraint!

Question 8

A bakery is making muffins and cookies for a fundraiser. Let xxx be the number of dozen muffins and yyy be the number of dozen cookies.

Constraints:

  • Each dozen muffins uses 2 cups of flour; each dozen cookies uses 1 cup of flour.
  • The bakery has at most 30 cups of flour: 2x+y≤302x+y\le 302x+y≤30.
  • They need at least 18 dozen items total: x+y≥18x+y\ge 18x+y≥18.
  • They can make at most 10 dozen muffins: x≤10x\le 10x≤10.
  • x≥0x\ge 0x≥0 and y≥0y\ge 0y≥0.

Is (x,y)=(9,9)(x,y)=(9,9)(x,y)=(9,9) a viable solution?

  1. Viable; it satisfies all constraints. (correct answer)
  2. Nonviable; it violates 2x+y≤302x+y\le 302x+y≤30 because 2(9)+9=272(9)+9=272(9)+9=27.
  3. Nonviable; it violates x+y≥18x+y\ge 18x+y≥18 because 9+9=169+9=169+9=16.
  4. Nonviable; it violates x≤10x\le 10x≤10 because 9>109>109>10.

Explanation: This question tests your ability to translate real-world constraints into mathematical inequalities (and equations) and determine whether potential solutions are viable—meaning they satisfy all constraints and make sense in the context. A solution is viable (feasible) if it satisfies EVERY SINGLE constraint AND makes sense in the real-world context (like no negative quantities, whole items when you can't buy half an item, etc.). If even one constraint is violated, or if the solution is unrealistic, it's nonviable. Think of constraints like security checkpoints—you need to pass through all of them! To check if (9, 9) is viable, we substitute into each constraint: Checking 2x + y ≤ 30: 2(9) + 9 = 18 + 9 = 27 ≤ 30 ✓ (true). Checking x + y ≥ 18: 9 + 9 = 18 ≥ 18 ✓ (true). Checking x ≤ 10: 9 ≤ 10 ✓ (true). Checking x ≥ 0: 9 ≥ 0 ✓ and y ≥ 0: 9 ≥ 0 ✓ (true). Also checking context: both 9 and 9 are nonnegative whole numbers ✓. Conclusion: viable because all constraints are satisfied. Choice A is correct because it properly checks all constraints showing (9, 9) is viable—all inequalities are satisfied and the values make sense in context. Choice B incorrectly calculates: it says 2(9) + 9 = 27, which is correct, but then claims this violates the constraint when actually 27 ≤ 30 is true! When checking inequalities, be careful with the direction: ≤ means 'less than or equal to,' so 27 ≤ 30 is satisfied. The viability-checking procedure: Make a checklist of every constraint. For each one, substitute the point and check if it's satisfied. Write 'Yes' or 'No' next to each constraint. If even one 'No' appears, the solution is nonviable—identify which constraint(s) failed. Also do a reality check: negative quantities? fractional items when must be whole? These context violations also make solutions nonviable!

Question 9

A farmer plants acres of corn and acres of soybeans. Corn requires 2 units of water per acre and soybeans require 1 unit of water per acre. The farmer has at most 50 units of water and can plant at most 30 acres total. Also, the farmer must plant at least 8 acres of corn.

Let xxx = acres of corn and yyy = acres of soybeans.

What system of constraints models the situation?

  1. {2x+y≤50,  x+y≤30,  x≥8,  x≥0,  y≥0}\{2x+y\le 50,\; x+y\le 30,\; x\ge 8,\; x\ge 0,\; y\ge 0\}{2x+y≤50,x+y≤30,x≥8,x≥0,y≥0} (correct answer)
  2. {2x+y≤50,  x+y≥30,  x≥8,  x≥0,  y≥0}\{2x+y\le 50,\; x+y\ge 30,\; x\ge 8,\; x\ge 0,\; y\ge 0\}{2x+y≤50,x+y≥30,x≥8,x≥0,y≥0}
  3. {2x+y≥50,  x+y≤30,  x≥8,  x≥0,  y≥0}\{2x+y\ge 50,\; x+y\le 30,\; x\ge 8,\; x\ge 0,\; y\ge 0\}{2x+y≥50,x+y≤30,x≥8,x≥0,y≥0}
  4. {2x+y≤50,  x+y≤30,  x≤8,  x≥0,  y≥0}\{2x+y\le 50,\; x+y\le 30,\; x\le 8,\; x\ge 0,\; y\ge 0\}{2x+y≤50,x+y≤30,x≤8,x≥0,y≥0}

Explanation: This question tests your ability to translate real-world constraints into mathematical inequalities (and equations) and determine whether potential solutions are viable—meaning they satisfy all constraints and make sense in the context. When setting up constraints from context, look for key phrases: 'at most' or 'no more than' → ≤, 'at least' or 'minimum' → ≥, 'exactly' or 'must be' → =, 'less than' → <, 'more than' → >. Also, don't forget implicit constraints like x ≥ 0 and y ≥ 0 (can't have negative quantities) or x, y must be integers (if counting discrete items). Let's identify all the constraints from the farming situation: water 'at most 50 units' gives us 2x + y ≤ 50, total acres 'at most 30' gives us x + y ≤ 30, minimum corn 'at least 8 acres' gives us x ≥ 8, and non-negativity x ≥ 0, y ≥ 0. Putting this together as a system: {2x + y ≤ 50, x + y ≤ 30, x ≥ 8, x ≥ 0, y ≥ 0}. This system captures all the limitations and requirements of the situation. Choice A is correct because it includes all constraints with correct inequality directions. Choice C has the inequality direction backwards: 'at most 30 acres' means ≤, not ≥. This is a super common error! When total acres 'at most 30,' we need x + y ≤ 30, meaning we can't exceed 30. The 'at most' puts a ceiling, not a floor. The constraint-writing recipe: (1) List EVERY limitation mentioned in the problem (budget, time, capacity, minimums, etc.), (2) For each, identify the inequality symbol from key words ('at most' → ≤, 'at least' → ≥, etc.), (3) Write the mathematical inequality using the costs, rates, or quantities from context, (4) Don't forget implicit constraints like x ≥ 0, y ≥ 0 (non-negativity) or x, y integers (if discrete). Make sure your system captures EVERY constraint!

Question 10

A small bakery makes muffins and cookies each morning. Let xxx = number of muffin batches and yyy = number of cookie batches.

Constraints:

  • Each muffin batch uses 3 cups of flour and each cookie batch uses 2 cups; there are at most 24 cups of flour: 3x+2y≤243x+2y\le 243x+2y≤24.
  • The oven can handle at most 10 total batches: x+y≤10x+y\le 10x+y≤10.
  • At least 2 muffin batches must be made: x≥2x\ge 2x≥2.
  • x≥0x\ge 0x≥0 and y≥0y\ge 0y≥0.

Which constraints does the point (6,4)(6, 4)(6,4) violate?

  1. It violates only 3x+2y≤243x+2y\le 243x+2y≤24. (correct answer)
  2. It violates only x+y≤10x+y\le 10x+y≤10.
  3. It violates both 3x+2y≤243x+2y\le 243x+2y≤24 and x+y≤10x+y\le 10x+y≤10.
  4. It violates no constraints; the point is viable.

Explanation: This question tests your ability to translate real-world constraints into mathematical inequalities (and equations) and determine whether potential solutions are viable—meaning they satisfy all constraints and make sense in the context. Checking viability is systematic: (1) Substitute the proposed solution into each constraint, (2) Verify each inequality or equation is satisfied, (3) Check context realism (non-negative? whole numbers if needed?). If everything checks out, it's viable. If anything fails, it's nonviable—and you should explain which constraint was violated. To check if (6, 4) is viable, we substitute into each constraint: Flour constraint: 3(6) + 2(4) = 18 + 8 = 26 ≤ 24? NO! 26 > 24, so this constraint is violated. Oven capacity: 6 + 4 = 10 ≤ 10? YES! This constraint is satisfied. Minimum muffins: 6 ≥ 2? YES! This constraint is satisfied. Non-negativity: 6 ≥ 0 and 4 ≥ 0? YES! Both satisfied. Conclusion: nonviable because the flour constraint is violated. Choice A is correct because it correctly identifies that only the flour constraint 3x + 2y ≤ 24 is violated by the point (6, 4). Choice C says both constraints are violated, but we verified that x + y = 10 ≤ 10, so the oven capacity constraint is actually satisfied. One failure disqualifies the entire solution, but it's important to accurately identify which specific constraints are violated! When checking viability, substitute carefully: if the point is (6, 4), that means x = 6 and y = 4. Substitute those values into EVERY inequality and equation. For example, if one constraint is 3x + 2y ≤ 24, check: 3(6) + 2(4) = 18 + 8 = 26 ≤ 24? No! Do this for every single constraint. It's tedious but necessary—one missed check could mean accepting an infeasible solution!

Question 11

A student is buying notebooks and pens. Let xxx be the number of notebooks and yyy be the number of pens.

Constraints:

  • Notebooks cost \3eachandpenscosteach and pens costeachandpenscost$1$ each.
  • The student has exactly \18$ to spend.
  • The student wants at least 10 items total.
  • x≥0x\ge 0x≥0 and y≥0y\ge 0y≥0.

What system of constraints models this context?

  1. {3x+y≤18, x+y≥10, x≥0, y≥0}\{3x+y\le 18,\ x+y\ge 10,\ x\ge 0,\ y\ge 0\}{3x+y≤18, x+y≥10, x≥0, y≥0}
  2. {3x+y=18, x+y≥10, x≥0, y≥0}\{3x+y=18,\ x+y\ge 10,\ x\ge 0,\ y\ge 0\}{3x+y=18, x+y≥10, x≥0, y≥0} (correct answer)
  3. {3x+y=18, x+y≤10, x≥0, y≥0}\{3x+y=18,\ x+y\le 10,\ x\ge 0,\ y\ge 0\}{3x+y=18, x+y≤10, x≥0, y≥0}
  4. {x+3y=18, x+y≥10, x≥0, y≥0}\{x+3y=18,\ x+y\ge 10,\ x\ge 0,\ y\ge 0\}{x+3y=18, x+y≥10, x≥0, y≥0}

Explanation: This question tests your ability to translate real-world constraints into mathematical inequalities (and equations) and determine whether potential solutions are viable—meaning they satisfy all constraints and make sense in the context. When setting up constraints from context, look for key phrases: 'at most' or 'no more than' → ≤, 'at least' or 'minimum' → ≥, 'exactly' or 'must be' → =, 'less than' → <, 'more than' → >. Also, don't forget implicit constraints like x ≥ 0 and y ≥ 0 (can't have negative quantities) or x, y must be integers (if counting discrete items). Let's identify all the constraints from 'buying notebooks and pens': The cost constraint 'has exactly 18tospend′givesus3x+y=18(notetheequalssignfor′exactly′!).Thequantityconstraint′wantsatleast10itemstotal′givesusx+y≥10.Thenon−negativityconstraintsgiveusx≥0andy≥0.Puttingthistogetherasasystem:3x+y=18,x+y≥10,x≥0,y≥0.Thissystemcapturesallthelimitationsandrequirementsofthesituation.ChoiceBiscorrectbecauseitincludesallconstraintswithcorrectinequalitydirectionsanduses=forthe′exactly18 to spend' gives us 3x + y = 18 (note the equals sign for 'exactly'!). The quantity constraint 'wants at least 10 items total' gives us x + y ≥ 10. The non-negativity constraints give us x ≥ 0 and y ≥ 0. Putting this together as a system: {3x + y = 18, x + y ≥ 10, x ≥ 0, y ≥ 0}. This system captures all the limitations and requirements of the situation. Choice B is correct because it includes all constraints with correct inequality directions and uses = for the 'exactly 18tospend′givesus3x+y=18(notetheequalssignfor′exactly′!).Thequantityconstraint′wantsatleast10itemstotal′givesusx+y≥10.Thenon−negativityconstraintsgiveusx≥0andy≥0.Puttingthistogetherasasystem:3x+y=18,x+y≥10,x≥0,y≥0.Thissystemcapturesallthelimitationsandrequirementsofthesituation.ChoiceBiscorrectbecauseitincludesallconstraintswithcorrectinequalitydirectionsanduses=forthe′exactly18' constraint. Choice A uses an inequality (≤) when the context describes an equation (=): 'exactly 18′indicatesthestudentmustspendall18' indicates the student must spend all 18′indicatesthestudentmustspendall18, not just up to $18. Reserve = for 'exactly,' 'must be,' or 'equal to' situations. The word 'exactly' is your clue that this isn't a maximum or minimum—it's a precise requirement! The constraint-writing recipe: (1) List EVERY limitation mentioned in the problem (budget, time, capacity, minimums, etc.), (2) For each, identify the inequality symbol from key words ('at most' → ≤, 'at least' → ≥, etc.), (3) Write the mathematical inequality using the costs, rates, or quantities from context, (4) Don't forget implicit constraints like x ≥ 0, y ≥ 0 (non-negativity) or x, y integers (if discrete). Make sure your system captures EVERY constraint!

Question 12

A community center buys chairs and tables. Each chair costs 15andeachtablecosts15 and each table costs 15andeachtablecosts40. The center has at most $400 to spend and can store at most 20 total pieces of furniture.

Let xxx = number of chairs and yyy = number of tables.

Is the point (12,6)(12, 6)(12,6) a viable solution? Explain by checking the constraints.

  1. Viable: it satisfies both 15x+40y≤40015x+40y\le 40015x+40y≤400 and x+y≤20x+y\le 20x+y≤20.
  2. Nonviable: it violates the budget constraint since 15(12)+40(6)=420>40015(12)+40(6)=420>40015(12)+40(6)=420>400. (correct answer)
  3. Nonviable: it violates the storage constraint since 12+6=20>2012+6=20>2012+6=20>20.
  4. Nonviable: it violates non-negativity because yyy must be negative to meet the budget.

Explanation: This question tests your ability to translate real-world constraints into mathematical inequalities (and equations) and determine whether potential solutions are viable—meaning they satisfy all constraints and make sense in the context. Checking viability is systematic: (1) Substitute the proposed solution into each constraint, (2) Verify each inequality or equation is satisfied, (3) Check context realism (non-negative? whole numbers if needed?). If everything checks out, it's viable. If anything fails, it's nonviable—and you should explain which constraint was violated. To check if (12, 6) is viable, we substitute into each constraint: for budget 15x + 40y ≤ 400, 15(12) + 40(6) = 180 + 240 = 420 ≤ 400? (false, 420 > 400); for storage x + y ≤ 20, 12 + 6 = 18 ≤ 20 (true). Also checking context: x=12≥0, y=6≥0, whole numbers (yes). Conclusion: nonviable because budget constraint violated. Choice B is correct because it correctly identifies the violation in the budget constraint. Choice A says the point is viable but doesn't check all constraints: it claims satisfaction but misses that 420 > 400 violates budget. To determine viability, you MUST check every single constraint—missing even one can lead to accepting an impossible solution! The viability-checking procedure: Make a checklist of every constraint. For each one, substitute the point and check if it's satisfied. Write 'Yes' or 'No' next to each constraint. If even one 'No' appears, the solution is nonviable—identify which constraint(s) failed. Also do a reality check: negative quantities? fractional items when must be whole? These context violations also make solutions nonviable!

Question 13

A gardener is planting tomatoes and peppers. Let xxx be the number of tomato plants and yyy be the number of pepper plants.

Constraints:

  • The garden can hold at most 30 plants total: x+y≤30x+y\le 30x+y≤30.
  • Tomato plants require 2 stakes each and pepper plants require 1 stake each. The gardener has at most 40 stakes: 2x+y≤402x+y\le 402x+y≤40.
  • The gardener wants at least 8 tomato plants: x≥8x\ge 8x≥8.
  • x≥0x\ge 0x≥0 and y≥0y\ge 0y≥0.

Is the point (x,y)=(12,20)(x,y)=(12,20)(x,y)=(12,20) a viable solution?

  1. Nonviable because it violates 2x+y≤402x+y\le 402x+y≤40.
  2. Viable because it satisfies all three constraints.
  3. Nonviable because it violates x≥8x\ge 8x≥8.
  4. Nonviable because it violates x+y≤30x+y\le 30x+y≤30. (correct answer)

Explanation: This question tests your ability to translate real-world constraints into mathematical inequalities (and equations) and determine whether potential solutions are viable—meaning they satisfy all constraints and make sense in the context. Checking viability is systematic: (1) Substitute the proposed solution into each constraint, (2) Verify each inequality or equation is satisfied, (3) Check context realism (non-negative? whole numbers if needed?). If everything checks out, it's viable. If anything fails, it's nonviable—and you should explain which constraint was violated. To check if (12, 20) is viable, we substitute into each constraint: Total plants: x + y = 12 + 20 = 32 > 30 ✗. Stakes needed: 2(12) + 20 = 24 + 20 = 44 > 40 ✗. Minimum tomatoes: x = 12 ≥ 8 ✓. Non-negativity: x = 12 ≥ 0 ✓ and y = 20 ≥ 0 ✓. Conclusion: nonviable because it violates both the total plants constraint (32 > 30) and the stakes constraint (44 > 40). Choice B is correct because it correctly identifies that the solution violates x + y ≤ 30. Choice C says it violates only the stakes constraint, but actually (12, 20) violates BOTH the total plants constraint (32 > 30) AND the stakes constraint (44 > 40). When a solution violates multiple constraints, it's important to identify the primary or most obvious violation—here, exceeding the garden's 30-plant capacity is the clearest issue! When checking viability, substitute carefully: if the point is (12, 20), that means x = 12 and y = 20. Substitute those values into EVERY inequality and equation. For example, if one constraint is x + y ≤ 30, check: 12 + 20 = 32 ≤ 30? No! Do this for every single constraint. It's tedious but necessary—one missed check could mean accepting an infeasible solution!

Question 14

A meal plan uses two foods: Food A and Food B. Let xxx be the number of servings of Food A and yyy be the number of servings of Food B.

Nutrition constraints:

  • Protein: Food A has 8 g, Food B has 12 g. The meal needs at least 48 g of protein.
  • Calories: Food A has 200 calories, Food B has 150 calories. The meal must have at most 900 calories.
  • x≥0x\ge 0x≥0 and y≥0y\ge 0y≥0.

Check whether the point (x,y)=(3,2)(x,y)=(3,2)(x,y)=(3,2) satisfies all constraints.

  1. Viable because protein is 8(3)+12(2)=48≥488(3)+12(2)=48\ge 488(3)+12(2)=48≥48 and calories are 200(3)+150(2)=900≤900200(3)+150(2)=900\le 900200(3)+150(2)=900≤900. (correct answer)
  2. Nonviable because protein is 8(3)+12(2)=44<488(3)+12(2)=44<488(3)+12(2)=44<48.
  3. Nonviable because calories are 200(3)+150(2)=950>900200(3)+150(2)=950>900200(3)+150(2)=950>900.
  4. Viable because calories are under 900 even though protein is below 48.

Explanation: This question tests your ability to translate real-world constraints into mathematical inequalities (and equations) and determine whether potential solutions are viable—meaning they satisfy all constraints and make sense in the context. Checking viability is systematic: (1) Substitute the proposed solution into each constraint, (2) Verify each inequality or equation is satisfied, (3) Check context realism (non-negative? whole numbers if needed?). If everything checks out, it's viable. If anything fails, it's nonviable—and you should explain which constraint was violated. To check if (3, 2) is viable, we substitute into each constraint: Protein constraint: 8(3) + 12(2) = 24 + 24 = 48 ≥ 48 ✓. Calorie constraint: 200(3) + 150(2) = 600 + 300 = 900 ≤ 900 ✓. Non-negativity: x = 3 ≥ 0 ✓ and y = 2 ≥ 0 ✓. Conclusion: viable because all constraints are satisfied. Choice A is correct because it properly checks all constraints showing (3, 2) is viable. Choice B says the point is nonviable but makes a calculation error: 8(3) + 12(2) = 24 + 24 = 48, not 44. The protein requirement of exactly 48g is met! This highlights how arithmetic errors can lead to incorrect viability conclusions—always double-check your calculations! When checking viability, substitute carefully: if the point is (3, 2), that means x = 3 and y = 2. Substitute those values into EVERY inequality and equation. For example, if one constraint is 8x + 12y ≥ 48, check: 8(3) + 12(2) = 24 + 24 = 48 ≥ 48? Yes! Do this for every single constraint. It's tedious but necessary—one missed check could mean accepting an infeasible solution!

Question 15

A workshop produces birdhouses and planters. Let xxx be the number of birdhouses and yyy be the number of planters.

Constraints:

  • Each birdhouse uses 3 boards and each planter uses 5 boards. There are at most 60 boards: 3x+5y≤603x+5y\le 603x+5y≤60.
  • The workshop can make at most 18 total items: x+y≤18x+y\le 18x+y≤18.
  • Production requires at least 6 birdhouses: x≥6x\ge 6x≥6.
  • x≥0x\ge 0x≥0 and y≥0y\ge 0y≥0.

Determine if each solution is viable or nonviable: (i) (6,9)(6,9)(6,9), (ii) (8,6)(8,6)(8,6), (iii) (12,2)(12,2)(12,2).

  1. (i) viable, (ii) viable, (iii) nonviable
  2. (i) viable, (ii) nonviable, (iii) viable
  3. (i) nonviable, (ii) viable, (iii) viable (correct answer)
  4. (i) viable, (ii) nonviable, (iii) nonviable

Explanation: This question tests your ability to translate real-world constraints into mathematical inequalities (and equations) and determine whether potential solutions are viable—meaning they satisfy all constraints and make sense in the context. A solution is viable (feasible) if it satisfies EVERY SINGLE constraint AND makes sense in the real-world context (like no negative quantities, whole items when you can't buy half an item, etc.). If even one constraint is violated, or if the solution is unrealistic, it's nonviable. Think of constraints like security checkpoints—you need to pass through all of them! Let's check each point against all constraints: For (6, 9): 3(6) + 5(9) = 18 + 45 = 63 > 60 ✗ → nonviable because it exceeds board limit. For (8, 6): 3(8) + 5(6) = 24 + 30 = 54 ≤ 60 ✓, 8 + 6 = 14 ≤ 18 ✓, x = 8 ≥ 6 ✓, x = 8 ≥ 0 ✓, y = 6 ≥ 0 ✓ → viable. For (12, 2): 3(12) + 5(2) = 36 + 10 = 46 ≤ 60 ✓, 12 + 2 = 14 ≤ 18 ✓, x = 12 ≥ 6 ✓, x = 12 ≥ 0 ✓, y = 2 ≥ 0 ✓ → viable. Notice how (6, 9) fails the board constraint, while (8, 6) and (12, 2) pass all constraints. Even one violation makes a solution nonviable! Choice A is correct because it correctly identifies (i) as nonviable and (ii) and (iii) as viable. Choice B incorrectly says (iii) is nonviable, but for (12, 2), all constraints are satisfied: 3(12) + 5(2) = 46 ≤ 60 ✓, 12 + 2 = 14 ≤ 18 ✓, and 12 ≥ 6 ✓. This point is perfectly viable! Always check your arithmetic carefully when evaluating multiple points. The viability-checking procedure: Make a checklist of every constraint. For each one, substitute the point and check if it's satisfied. Write 'Yes' or 'No' next to each constraint. If even one 'No' appears, the solution is nonviable—identify which constraint(s) failed. Also do a reality check: negative quantities? fractional items when must be whole? These context violations also make solutions nonviable!

Question 16

A community center is scheduling yoga classes and art classes. Let xxx = number of yoga classes and yyy = number of art classes. Each yoga class uses 2 hours of instructor time and each art class uses 3 hours. There are at most 24 hours of instructor time available. The center must offer at least 4 total classes. Also, x≥0x\ge 0x≥0 and y≥0y\ge 0y≥0. Which constraints does the point (3,2)(3,2)(3,2) violate, if any?

  1. It violates 2x+3y≤242x+3y\le 242x+3y≤24.
  2. It violates x+y≥4x+y\ge 4x+y≥4.
  3. It violates both 2x+3y≤242x+3y\le 242x+3y≤24 and x+y≥4x+y\ge 4x+y≥4.
  4. It violates no constraints (it is viable). (correct answer)

Explanation: This question tests your ability to translate real-world constraints into mathematical inequalities (and equations) and determine whether potential solutions are viable—meaning they satisfy all constraints and make sense in the context. Checking viability is systematic: (1) Substitute the proposed solution into each constraint, (2) Verify each inequality or equation is satisfied, (3) Check context realism (non-negative? whole numbers if needed?). If everything checks out, it's viable. If anything fails, it's nonviable—and you should explain which constraint was violated. To check if (3, 2) is viable, we substitute into each constraint: Instructor time constraint: 2(3) + 3(2) = 6 + 6 = 12 ≤ 24 ✓ True. Minimum classes constraint: 3 + 2 = 5 ≥ 4 ✓ True. Non-negativity: x = 3 ≥ 0 ✓ and y = 2 ≥ 0 ✓. Conclusion: viable because all constraints are satisfied. Choice D is correct because it correctly identifies that the point (3, 2) satisfies all constraints and is therefore viable. Choice A is missing a crucial constraint check: it claims the point violates 2x + 3y ≤ 24, but 2(3) + 3(2) = 12 ≤ 24 is true! This shows the importance of careful calculation when checking constraints. When checking viability, substitute carefully: if the point is (3, 2), that means x = 3 and y = 2. Substitute those values into EVERY inequality and equation. For example, if one constraint is 2x + 3y ≤ 24, check: 2(3) + 3(2) = 6 + 6 = 12 ≤ 24? Yes! Do this for every single constraint. It's tedious but necessary—one missed check could mean accepting an infeasible solution!

Question 17

A school fundraiser sells tickets for 15each.Thevenuechargesafixedrentalfeeof15 each. The venue charges a fixed rental fee of 15each.Thevenuechargesafixedrentalfeeof300 plus $8 per person attending. If xxx represents the number of tickets sold, which system correctly models the constraints for the fundraiser to break even or make a profit?

  1. 15x≥300+8x15x \geq 300 + 8x15x≥300+8x and x≥0x \geq 0x≥0 (correct answer)
  2. 15x>300+8x15x > 300 + 8x15x>300+8x and x>0x > 0x>0
  3. 15x≥300+815x \geq 300 + 815x≥300+8 and x≥0x \geq 0x≥0
  4. 15x−8x≥30015x - 8x \geq 30015x−8x≥300 and x≥0x \geq 0x≥0

Explanation: To break even or make a profit, revenue (15x15x15x) must be greater than or equal to total costs (300+8x300 + 8x300+8x). The number of tickets sold cannot be negative. Choice A correctly represents both constraints. Choice B uses strict inequality when break-even should be included. Choice C omits the variable cost per person. Choice D is algebraically equivalent to A but doesn't clearly show the relationship between revenue and costs.

Question 18

A company's profit PPP (in thousands) is modeled by P=−2x2+16x−24P = -2x^2 + 16x - 24P=−2x2+16x−24, where xxx is the number of products sold (in hundreds). The company needs a profit of at least $8,000. Which represents this constraint and identifies whether x=2x = 2x=2 is a viable option?

  1. −2x2+16x−24≥8000-2x^2 + 16x - 24 \geq 8000−2x2+16x−24≥8000; x=2x = 2x=2 is not viable since units are inconsistent
  2. −2x2+16x−24≥8-2x^2 + 16x - 24 \geq 8−2x2+16x−24≥8; x=2x = 2x=2 is not viable since it yields $0 profit (correct answer)
  3. −2x2+16x−24≥8-2x^2 + 16x - 24 \geq 8−2x2+16x−24≥8; x=2x = 2x=2 is viable since it equals minimum requirement
  4. −2x2+16x−24>8-2x^2 + 16x - 24 > 8−2x2+16x−24>8; x=2x = 2x=2 is not viable since strict inequality excludes boundary

Explanation: When you encounter profit inequality problems, pay close attention to units and carefully match the constraint language to the mathematical expression. The profit function gives you PPP in thousands of dollars, so you need to convert the $8,000 requirement to the same units. Since PPP represents profit in thousands of dollars, a profit of "at least 8,000" means $$P \geq 8$$ (because 8,000 = 8 thousands). This gives you the inequality −2x2+16x−24≥8-2x^2 + 16x - 24 \geq 8−2x2+16x−24≥8. Now test x=2x = 2x=2: P=−2(2)2+16(2)−24=−8+32−24=0P = -2(2)^2 + 16(2) - 24 = -8 + 32 - 24 = 0P=−2(2)2+16(2)−24=−8+32−24=0. Since 0 is not greater than or equal to 8, x=2x = 2x=2 doesn't meet the profit requirement. Looking at the wrong answers: Choice A incorrectly uses 8000 instead of 8, ignoring that PPP is already in thousands. This creates a units mismatch that makes the inequality impossible to satisfy. Choice C correctly sets up the inequality but wrongly claims x=2x = 2x=2 is viable—substituting shows it yields 0, which doesn't meet the "at least 8" requirement. Choice D uses a strict inequality (>>>) instead of "greater than or equal to" (≥\geq≥), which doesn't match the phrase "at least." The correct answer is B because it properly converts units and correctly evaluates that x=2x = 2x=2 yields insufficient profit. Study tip: Always check that your units are consistent throughout the problem, and remember that "at least" translates to ≥\geq≥, not >>>.

Question 19

A carpenter has 48 feet of trim and 20 square feet of plywood. Small shelves use 3 feet of trim and 2 square feet of plywood. Large shelves use 6 feet of trim and 4 square feet of plywood. If the carpenter makes sss small shelves and ℓ\ellℓ large shelves, which constraint is NOT properly represented?

  1. 3s+6ℓ≤483s + 6\ell \leq 483s+6ℓ≤48 (trim constraint)
  2. 2s+4ℓ≤202s + 4\ell \leq 202s+4ℓ≤20 (plywood constraint)
  3. s≥0s \geq 0s≥0 and ℓ≥0\ell \geq 0ℓ≥0 (non-negativity)
  4. s+ℓ≥1s + \ell \geq 1s+ℓ≥1 (production requirement) (correct answer)

Explanation: Choices A, B, and C correctly represent the material constraints and logical requirements (can't make negative shelves). Choice D assumes a production requirement that wasn't stated in the problem. The carpenter could choose to make zero shelves if desired, making this constraint invalid. This tests the ability to distinguish between given constraints and assumed constraints.

Question 20

A food truck operates under the following conditions: They can prepare at most 100 meals per day due to kitchen capacity. Each regular meal costs 3tomakeandsellsfor3 to make and sells for 3tomakeandsellsfor8. Each premium meal costs 5tomakeandsellsfor5 to make and sells for 5tomakeandsellsfor12. They need at least $200 in profit daily to stay viable.

If rrr represents regular meals and ppp represents premium meals, which system correctly models all constraints for viable daily operation?

  1. r+p≤100r + p \leq 100r+p≤100, 8r+12p−3r−5p≥2008r + 12p - 3r - 5p \geq 2008r+12p−3r−5p≥200, r≥0r \geq 0r≥0, p≥0p \geq 0p≥0
  2. r+p≤100r + p \leq 100r+p≤100, 8r+12p≥2008r + 12p \geq 2008r+12p≥200, r≥0r \geq 0r≥0, p≥0p \geq 0p≥0
  3. r+p≤100r + p \leq 100r+p≤100, (8−3)r+(12−5)p≥200(8-3)r + (12-5)p \geq 200(8−3)r+(12−5)p≥200, r≥0r \geq 0r≥0, p≥0p \geq 0p≥0 (correct answer)
  4. r+p=100r + p = 100r+p=100, 5r+7p≥2005r + 7p \geq 2005r+7p≥200, r>0r > 0r>0, p>0p > 0p>0

Explanation: The constraints are: (1) At most 100 meals: r+p≤100r + p \leq 100r+p≤100, (2) At least $200 profit: profit per regular meal is 8−3=58 - 3 = 58−3=5, profit per premium meal is 12−5=712 - 5 = 712−5=7, so 5r+7p≥2005r + 7p \geq 2005r+7p≥200, (3) Non-negative production: r≥0,p≥0r \geq 0, p \geq 0r≥0,p≥0. Choice C shows the profit calculation explicitly. Choice A shows the calculation but doesn't simplify. Choice B uses revenue instead of profit. Choice D requires exactly 100 meals and positive production, which aren't required.