
AFDA_W7_Quizizz Linear Programming Practice
Authored by Samantha Shain
Mathematics
9th - 12th Grade
Used 8+ times

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25 questions
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1.
MULTIPLE CHOICE QUESTION
3 mins • 4 pts
What is optimization in linear programming?
Finding the best possible solution for a given objective function while satisfying a set of constraints.
Finding the average solution for a given objective function while satisfying a set of constraints.
Finding multiple solutions for a given objective function while satisfying a set of constraints.
Finding the worst possible solution for a given objective function while satisfying a set of constraints.
2.
MULTIPLE CHOICE QUESTION
3 mins • 4 pts
What is the feasible region in linear programming?
The feasible region is the set of all possible solutions that satisfy all the constraints of the problem.
The feasible region is the set of all possible solutions that satisfy none of the constraints of the problem.
The feasible region is the set of all possible solutions that satisfy some of the constraints of the problem.
The feasible region is the set of all impossible solutions that do not satisfy any of the constraints of the problem.
3.
MULTIPLE CHOICE QUESTION
3 mins • 4 pts
What are constraints in linear programming?
Mathematical equations used to solve linear programming problems
Limitations or restrictions on variables
Factors that determine the objective function
Values that maximize the objective function
4.
MULTIPLE CHOICE QUESTION
3 mins • 4 pts
Sarah makes small purses (x) and big purses (y). She can make no more than 8 purses a week.
Which inequality represents the situation?
5.
MULTIPLE CHOICE QUESTION
3 mins • 4 pts
It takes Sarah 2 hours to make small purses and 3 hours to make big purses. She has a maximum of 18 hours a week. Which inequality represents this situation?
6.
MULTIPLE CHOICE QUESTION
3 mins • 4 pts
Sarah makes $30 for each small purse (x) and $50 for each big purse (y). What is the objective quantity?
7.
MULTIPLE CHOICE QUESTION
3 mins • 4 pts
Objective quantity:
P = 30x + 50y
Corner that maximizes profit: (0, 6)
What is the profit?
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