Algebra 2 Linear Programming

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I think this is an easy question but i just wanted make sure i have the right answer

Could you check my work

Some students make and sell jewelry in their spare time. Every week they have an avaiable 10,000 beads of various colors and sizes. They only have 20 hours to work on the jewelry. Each necklace takes 30 minutes to make and each bracelet takes 20 minutes to make. Only 50 beads are placed on each necklace,and 200 beads on each bracelet(yes the bracelet has more beads then the necklace, not a typo). The profit on every necklace is $3.50 and the profit on every bracelet is $2.50. The students want to make as much money as possible.

Define variable: x= necklace
y= bracelets

Write constraints

Write objective function for profit: i think it is P=3.5X+2.5Y

State the vertices in a chart....if i could just get the vertices that would be nice....i think it is (50,30)

Evaluate the profit for each point, but i think there is only one point in this problem

What is the maximum profit

i think it is 3,400

thanks for everything

  • Algebra 2 Linear Programming -

    agree with P = 3.5 x + 2.5 y

    But constraints

    Number of beads :
    N = 50 x + 200 y must be </= 10,000
    200 y = -50 x + 10,000
    so on your graph
    y = - .25 x + 50

    Number of hours
    Hr = .5 x + .333 y must be </= 20
    .333 y = -.5 x + 20
    so on your graph
    y = -1.5 x + 60

    so graph it
    The number of beads line hits the y axis at 50 and the x axis at 200
    The number of hours line hits the y axis at 60 and the x axis at 40
    the two lines cross at
    x = 8, y = 48 (8,48)
    (0,0) of course
    (0,50) all bracelets
    (40,0) all necklaces

    NOW do your profit at each point (4 including the trivial one at origin)

  • Algebra 2 Linear Programming -

    Profit at (0,0) = 0 of course
    Profit at (0,50) = 3.5(0)+2.5(50) =125
    Profit at (8,48) = 3.5(8)+2.5(48) =148
    Profit at (40,0) = 3.5(40)+2.5(0) =140

    so make 8 necklaces and 48 bracelets

    Do you agree?

  • Algebra 2 Linear Programming -

    that sounds right i guess i should check my work again

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