Quantitative reasoning exercises using mathematical modeling help develop analytical skills by applying mathematical concepts to solve real-world problems. Here are several exercises that incorporate different types of mathematical modeling, along with solutions or guiding steps.
Problem: A company produces and sells widgets. The cost to produce widgets is given by the function (where 200 is fixed costs). The selling price per widget is $80.
Solution Steps:
Revenue Function:
Break-even Point: Set the revenue equal to the cost:
Since you can’t sell a fraction of a widget, the company must sell at least 7 widgets to break even.
Problem: A bacteria culture starts with 200 bacteria and doubles every 3 hours.
Solution Steps:
Population Model: Since the population doubles every 3 hours:
Population After 12 Hours:
There will be 3,200 bacteria after 12 hours.
Problem: A farmer has 100 acres of land to plant crops. Each acre of corn requires 2 hours of labor and yields 300 profit. The farmer has 240 hours of labor available.
Solution Steps:
Variables: Let be the acres of corn and be the acres of soybeans.
Objective Function: Maximize profit :
Constraints:
Solving the System: Use graphical methods or a linear programming tool to find the optimal solution.
Problem: A certain radioactive substance has a half-life of 10 years. If you start with 80 grams of the substance, write an equation to model the amount remaining after years and calculate how much remains after 30 years.
Solution Steps:
Decay Model: The amount remaining after years can be modeled as:
where grams.
Remaining After 30 Years:
After 30 years, 10 grams of the substance will remain.
Problem: A coffee shop sells coffee for 3 each. On a busy day, the shop sells 150 items for a total of $600.
Solution Steps:
Variables: Let be the number of cups of coffee and be the number of pastries.
Equations:
Solving the System: From equation (1), express :
Substitute into equation (2):
Then substitute back to find :
The shop sold 75 cups of coffee and 75 pastries.
These exercises demonstrate how mathematical modeling can be used to analyze various scenarios involving growth, decay, optimization, and systems of equations. By engaging with these problems, you can strengthen your quantitative reasoning skills and apply mathematical concepts to real-world situations.
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