Learn on PengiOpenstax Intermediate Algebra 2EChapter 4: Systems of Linear Equations

Lesson 4.3: Solve Mixture Applications with Systems of Equations

In this lesson from Openstax Intermediate Algebra 2E, students learn how to solve mixture applications using systems of linear equations, including ticket and coin problems, interest calculations, and cost and revenue functions. Students practice setting up two-variable systems from organized data tables and applying the elimination and substitution methods to find unknown quantities. The lesson is suitable for intermediate algebra students working through Chapter 4 on systems of linear equations.

Section 1

πŸ“˜ Solve Mixture Applications with Systems of Equations

New Concept

Learn to model real-world scenarios by creating systems of equations. We'll tackle mixture, interest, and cost/revenue problems, translating given information into two equations with two variables to find the specific amounts needed for each component.

What’s next

Now, let's apply this. You'll work through interactive examples and practice cards covering coin, mixture, and interest problems.

Section 2

Solving Mixture Applications

Property

Mixture applications involve combining two or more quantities. To solve, we create a table to organize the information. The table typically has columns for the type of item, the number of units, the value (or concentration) per unit, and the total value. This organization helps in translating the word problem into a system of two linear equations, which can then be solved to find the unknown quantities. The equations are derived from the 'Number' column and the 'Total Value' column.

Examples

  • A movie theater sold 450 tickets. Adult tickets cost 13 dollars and child tickets cost 8 dollars. If receipts totaled 4650 dollars, how many of each were sold? Let aa be adult tickets and cc be child tickets. The system is a+c=450a + c = 450 and 13a+8c=465013a + 8c = 4650. Solving gives a=210a=210 and c=240c=240.
  • A blend of coffee is made from beans costing 8 dollars per pound and 14 dollars per pound. If the blend is 30 pounds and is valued at 10 dollars per pound, how many pounds of each bean are used? Let xx be pounds of the first bean and yy be pounds of the second. The system is x+y=30x + y = 30 and 8x+14y=3008x + 14y = 300. Solving gives x=20x=20 and y=10y=10.

Section 3

Solving Interest Applications

Property

The formula to model simple interest applications is I=PrtI = Prt, where II is interest, PP is principal, rr is the rate, and tt is the time. For calculations involving one year, t=1t=1. A table is used to organize the information with columns for the account type, principal, rate, time, and interest. The system of equations is derived from the 'Principal' column (total amount invested) and the 'Interest' column (total interest earned).

Examples

  • Jake invested 20,000 dollars, part in a fund earning 5% interest and the rest in a fund earning 9% interest. If his total interest for the year was 1,320 dollars, how much was in each fund? Let xx and yy be the amounts. The system is x+y=20000x + y = 20000 and 0.05x+0.09y=13200.05x + 0.09y = 1320. Solving gives x=12000x=12000 and y=8000y=8000.
  • A retiree invests 70,000 dollars into two accounts. She wants to earn an overall interest rate of 6%. One account pays 4% and the other pays 7%. How much should she invest in each? The system is x+y=70000x+y=70000 and 0.04x+0.07y=0.06(70000)0.04x + 0.07y = 0.06(70000). Solving gives x=23333.33x=23333.33 and y=46666.67y=46666.67.

Section 4

Cost and Revenue Functions

Property

The cost function is the cost to manufacture each unit times xx, the number of units manufactured, plus the fixed costs.

C(x)=(costΒ perΒ unit)β‹…x+fixedΒ costsC(x) = (\text{cost per unit}) \cdot x + \text{fixed costs}

The revenue function is the selling price of each unit times xx, the number of units sold.

R(x)=(sellingΒ priceΒ perΒ unit)β‹…xR(x) = (\text{selling price per unit}) \cdot x

The break-even point is when the revenue equals the costs.

C(x)=R(x)C(x) = R(x)

Book overview

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Chapter 4: Systems of Linear Equations

  1. Lesson 1

    Lesson 4.1: Solve Systems of Linear Equations with Two Variables

  2. Lesson 2

    Lesson 4.2: Solve Applications with Systems of Equations

  3. Lesson 3Current

    Lesson 4.3: Solve Mixture Applications with Systems of Equations

  4. Lesson 4

    Lesson 4.4: Solve Systems of Equations with Three Variables

  5. Lesson 5

    Lesson 4.5: Solve Systems of Equations Using Matrices

  6. Lesson 6

    Lesson 4.6: Solve Systems of Equations Using Determinants

  7. Lesson 7

    Lesson 4.7: Graphing Systems of Linear Inequalities

Lesson overview

Expand to review the lesson summary and core properties.

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Section 1

πŸ“˜ Solve Mixture Applications with Systems of Equations

New Concept

Learn to model real-world scenarios by creating systems of equations. We'll tackle mixture, interest, and cost/revenue problems, translating given information into two equations with two variables to find the specific amounts needed for each component.

What’s next

Now, let's apply this. You'll work through interactive examples and practice cards covering coin, mixture, and interest problems.

Section 2

Solving Mixture Applications

Property

Mixture applications involve combining two or more quantities. To solve, we create a table to organize the information. The table typically has columns for the type of item, the number of units, the value (or concentration) per unit, and the total value. This organization helps in translating the word problem into a system of two linear equations, which can then be solved to find the unknown quantities. The equations are derived from the 'Number' column and the 'Total Value' column.

Examples

  • A movie theater sold 450 tickets. Adult tickets cost 13 dollars and child tickets cost 8 dollars. If receipts totaled 4650 dollars, how many of each were sold? Let aa be adult tickets and cc be child tickets. The system is a+c=450a + c = 450 and 13a+8c=465013a + 8c = 4650. Solving gives a=210a=210 and c=240c=240.
  • A blend of coffee is made from beans costing 8 dollars per pound and 14 dollars per pound. If the blend is 30 pounds and is valued at 10 dollars per pound, how many pounds of each bean are used? Let xx be pounds of the first bean and yy be pounds of the second. The system is x+y=30x + y = 30 and 8x+14y=3008x + 14y = 300. Solving gives x=20x=20 and y=10y=10.

Section 3

Solving Interest Applications

Property

The formula to model simple interest applications is I=PrtI = Prt, where II is interest, PP is principal, rr is the rate, and tt is the time. For calculations involving one year, t=1t=1. A table is used to organize the information with columns for the account type, principal, rate, time, and interest. The system of equations is derived from the 'Principal' column (total amount invested) and the 'Interest' column (total interest earned).

Examples

  • Jake invested 20,000 dollars, part in a fund earning 5% interest and the rest in a fund earning 9% interest. If his total interest for the year was 1,320 dollars, how much was in each fund? Let xx and yy be the amounts. The system is x+y=20000x + y = 20000 and 0.05x+0.09y=13200.05x + 0.09y = 1320. Solving gives x=12000x=12000 and y=8000y=8000.
  • A retiree invests 70,000 dollars into two accounts. She wants to earn an overall interest rate of 6%. One account pays 4% and the other pays 7%. How much should she invest in each? The system is x+y=70000x+y=70000 and 0.04x+0.07y=0.06(70000)0.04x + 0.07y = 0.06(70000). Solving gives x=23333.33x=23333.33 and y=46666.67y=46666.67.

Section 4

Cost and Revenue Functions

Property

The cost function is the cost to manufacture each unit times xx, the number of units manufactured, plus the fixed costs.

C(x)=(costΒ perΒ unit)β‹…x+fixedΒ costsC(x) = (\text{cost per unit}) \cdot x + \text{fixed costs}

The revenue function is the selling price of each unit times xx, the number of units sold.

R(x)=(sellingΒ priceΒ perΒ unit)β‹…xR(x) = (\text{selling price per unit}) \cdot x

The break-even point is when the revenue equals the costs.

C(x)=R(x)C(x) = R(x)

Book overview

Jump across lessons in the current chapter without opening the full course modal.

Continue this chapter

Chapter 4: Systems of Linear Equations

  1. Lesson 1

    Lesson 4.1: Solve Systems of Linear Equations with Two Variables

  2. Lesson 2

    Lesson 4.2: Solve Applications with Systems of Equations

  3. Lesson 3Current

    Lesson 4.3: Solve Mixture Applications with Systems of Equations

  4. Lesson 4

    Lesson 4.4: Solve Systems of Equations with Three Variables

  5. Lesson 5

    Lesson 4.5: Solve Systems of Equations Using Matrices

  6. Lesson 6

    Lesson 4.6: Solve Systems of Equations Using Determinants

  7. Lesson 7

    Lesson 4.7: Graphing Systems of Linear Inequalities