Constraints and Budgeting in Problem Solving

Constraints and Budgeting in Problem Solving

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Hard

Created by

Thomas White

FREE Resource

The video tutorial introduces the concept of constraints, likening them to limitations such as handcuffs. It emphasizes the use of graphs to visualize constraints, making problem-solving easier. An example is provided where a student council president must organize a party with a limited number of tables, each having either balloons or flowers. The tutorial explains how to graph these constraints and derive equations. It introduces a budget constraint, showing how to calculate costs and graph inequalities to find feasible solutions. The tutorial concludes by combining constraints to determine viable options.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a constraint in problem-solving?

A method to solve equations

A limit to what can be done

A way to avoid problems

A tool to increase possibilities

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why are graphs useful when working with constraints?

They eliminate the need for calculations

They are only useful for large data sets

They make problems more complex

They help visualize and simplify constraints

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the party example, what does each table receive?

Only flowers

Only balloons

Both balloons and flowers

Either balloons or flowers

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the equation representing the total number of tables with balloons and flowers?

x + y = 10

x + y = 16

x + y = 20

x + y = 8

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the cost per table for balloons?

$10

$8

$4

$6

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What inequality represents the budget constraint for the party?

6X + 10Y > 120

6X + 10Y = 120

6X + 10Y ≤ 120

6X + 10Y ≥ 120

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the shaded area in the graph represent?

The area with no solutions

The maximum possible cost

The feasible region within the budget

The area where costs exceed the budget