Question

Difficulty: MediumLinear Equations in One Variable
A manufacturing company's monthly total production cost CC, in dollars, is related to the number of units produced, xx, by the linear equation:
3(C1,200)5=2x+180\frac{3(C - 1,200)}{5} = 2x + 180
If the total production cost in a given month was between $4,000\$4,000 and $5,000\$5,000, inclusive, which of the following could be the number of units produced in that month? Select all such numbers.
  1. A
    700
  2. 800Answer
  3. 950Answer
  4. 1,000Answer
  5. E
    1,100

Answer

The numbers of units that could be produced are 800, 950, and 1,000.
Solving the linear equation for xx gives x=3C4,50010x = \frac{3C - 4,500}{10}. Substituting the boundary cost values C=4,000C = 4,000 and C=5,000C = 5,000 yields x=750x = 750 and x=1,050x = 1,050, respectively. Therefore, any valid number of units must lie in the range [750,1,050][750, 1,050]. The values 800, 950, and 1,000 fall strictly within this interval.

Step-by-Step Solution

1
Express x in terms of C by isolating the variable x in the linear equation.
3(C1,200)=5(2x+180)    3C3,600=10x+900    10x=3C4,500    x=3C4,500103(C - 1,200) = 5(2x + 180) \implies 3C - 3,600 = 10x + 900 \implies 10x = 3C - 4,500 \implies x = \frac{3C - 4,500}{10}
Isolating xx allows direct evaluation of the unit limits based on the cost boundary values.
2
Calculate the minimum value of x corresponding to the minimum cost C = 4,000.
xmin=3(4,000)4,50010=12,0004,50010=7,50010=750x_{\min} = \frac{3(4,000) - 4,500}{10} = \frac{12,000 - 4,500}{10} = \frac{7,500}{10} = 750
Determines the lower bound of units produced.
3
Calculate the maximum value of x corresponding to the maximum cost C = 5,000.
xmax=3(5,000)4,50010=15,0004,50010=10,50010=1,050x_{\max} = \frac{3(5,000) - 4,500}{10} = \frac{15,000 - 4,500}{10} = \frac{10,500}{10} = 1,050
Determines the upper bound of units produced.
4
Filter the given choices to find all values within the interval [750, 1,050].
The valid values are 800, 950, and 1,000.
Only values between 750 and 1,050 inclusive satisfy the cost constraint.

Key Concept

Linear Equations in One Variable
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