Table of contents
- 0. Review of Algebra4h 16m
- 1. Equations & Inequalities3h 18m
- 2. Graphs of Equations43m
- 3. Functions2h 17m
- 4. Polynomial Functions1h 44m
- 5. Rational Functions1h 23m
- 6. Exponential & Logarithmic Functions2h 28m
- 7. Systems of Equations & Matrices4h 6m
- 8. Conic Sections2h 23m
- 9. Sequences, Series, & Induction1h 19m
- 10. Combinatorics & Probability1h 45m
1. Equations & Inequalities
Linear Equations
4:57 minutes
Problem 15d
Textbook Question
Textbook QuestionSolve each problem. (Modeling) Lead IntakeAs directed by the 'Safe Drinking Water Act' of December 1974, the EPA proposed a maximum lead level in public drinking water of 0.05 mg per liter. This standard assumed an individual consumption of two liters of water per day. (a)If EPA guidelines are followed, write an equation that models the maximum amount of lead A ingested in x years. Assume that there are 365.25 days in a year.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Linear Modeling
Linear modeling involves creating a mathematical equation that represents a real-world situation. In this case, the equation will relate the amount of lead ingested over time to the maximum allowable concentration in drinking water. Understanding how to set up a linear equation based on given parameters is crucial for solving the problem.
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Unit Conversion
Unit conversion is the process of changing one set of units to another, which is essential in this problem to ensure consistency. Here, we need to convert the lead concentration from mg per liter to total lead ingested over a specified time frame, taking into account daily water consumption and the number of days in a year.
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Exponential Growth vs. Linear Growth
Understanding the difference between exponential and linear growth is important in modeling scenarios like lead intake. In this case, the lead intake is modeled linearly over time, as it accumulates at a constant rate based on daily consumption. Recognizing this distinction helps in accurately interpreting the results of the model.
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