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Housing Costs Average annual per-household spending on housing over the years \(1990-2008\) is approximated by $$ H=8790 e^{0.0382 t} $$ where \(t\) is the number of years since \(1990 .\) Find \(H\) to the nearest dollar for each year. (Source: U.S. Bureau of Labor Statistics.) (a) 2000 (b) 2005 (c) 2008

Short Answer

Expert verified
In 2000: \( H \approx 12{,}875 \). In 2005: \( H \approx 15{,}600 \). In 2008: \( H \approx 17{,}488 \).

Step by step solution

01

Identify the given formula

The given formula for annual per-household spending on housing is: \[ H = 8790 e^{0.0382 t} \] where \( t \) is the number of years since 1990.
02

Calculate \( t \) for each year

Calculate the value of \( t \) for each of the given years.(a) For the year 2000: \[ t = 2000 - 1990 = 10 \](b) For the year 2005: \[ t = 2005 - 1990 = 15 \](c) For the year 2008: \[ t = 2008 - 1990 = 18 \]
03

Find \( H \) for the year 2000

Substitute \( t = 10 \) into the formula and calculate \( H \):\[ H = 8790 e^{0.0382 \times 10} \]Calculate:\[ H \approx 8790 e^{0.382} \approx 8790 \times 1.465 \approx 12{,}875 \]So, \( H \approx 12{,}875 \).
04

Find \( H \) for the year 2005

Substitute \( t = 15 \) into the formula and calculate \( H \):\[ H = 8790 e^{0.0382 \times 15} \]Calculate:\[ H \approx 8790 e^{0.573} \approx 8790 \times 1.774 \approx 15{,}600 \]So, \( H \approx 15{,}600 \).
05

Find \( H \) for the year 2008

Substitute \( t = 18 \) into the formula and calculate \( H \):\[ H = 8790 e^{0.0382 \times 18} \]Calculate:\[ H \approx 8790 e^{0.688} \approx 8790 \times 1.989 \approx 17{,}488 \]So, \( H \approx 17{,}488 \).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

precalculus applications
Precalculus is a branch of mathematics that helps in understanding concepts needed for calculus. It involves the study of functions, limits, and other mathematical models to describe real-world phenomena. One practical application is in economics, where mathematical models are used to predict future trends. In our exercise, we are given a model to estimate annual housing costs over several years. By plugging values into this model, students can see how precalculus tools are used to solve real-life problems.
exponential functions
Exponential functions are fundamental in math and science. They are expressed in the form: \[ f(x) = a \times e^{bx} \] where 'a' and 'b' are constants, and 'e' is the base of natural logarithms (approximately 2.71828). The rate of change of the function is proportional to its current value, which makes exponential functions ideal for modeling growth processes. For example, in our given equation \[ H = 8790 \times e^{0.0382t} \] we see an exponential function showing how housing costs increase over time. By understanding and using exponential functions, students can predict growth patterns in various fields, including finance, population studies, and natural sciences.
housing cost trends
Understanding housing cost trends is crucial for making informed financial decisions. Housing prices can be influenced by economic factors like inflation and market demand. The given exercise shows how annual housing costs change exponentially. By calculating the respective costs for specific years:
  • 2000: \( H \approx 12,875 \)
  • 2005: \( H \approx 15,600 \)
  • 2008: \( H \approx 17,488 \)
students can see the power of these trends. Such knowledge is invaluable for real estate investment, budgeting, and economic planning. Recognizing these patterns helps individuals and businesses to anticipate future expenses and plan accordingly.

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