Problem 84
Question
The percentage of U.S. households with cable television can be modeled by $$f(x)=18.32+15.94 \ln x$$ where \(x\) represents the number of years after 1979 and \(f(x)\) represents the percentage of U.S. households with cable television. What percentage of U.S. households had cable television in \(1990 ?\)
Step-by-Step Solution
Verified Answer
The percentage of U.S households that had cable television in 1990 is approximately 50.79%.
1Step 1: Determine the value of \(x\)
The variable \(x\) is the number of years after 1979. For the year 1990, \(x = 1990 - 1979 = 11\).
2Step 2: Plug the year into the function
Substitute the value of \(x\) into the function, that is, compute \(f(x) = f(11) = 18.32+15.94 \ln 11\).
3Step 3: Evaluate the expression
Using the properties of logarithms, perform the calculation. \(f(11) = 18.32 + 15.94 \times \ln 11\), which approximately equals 50.79.
Key Concepts
Logarithmic FunctionsMathematical ModelingPercentage Calculations
Logarithmic Functions
Logarithmic functions are an essential part of understanding how certain types of growth or decay work. They are the inverses of exponential functions.
In simpler terms, while exponential functions represent rapid growth, logarithmic functions describe a way to measure how quickly something happens against that growth.
When you see a logarithmic function like:
That's why they're frequently used in modeling situations where growth tapers off, like the spread of technology.
In simpler terms, while exponential functions represent rapid growth, logarithmic functions describe a way to measure how quickly something happens against that growth.
When you see a logarithmic function like:
- \( f(x) = 18.32 + 15.94 \ln x \)
- \( \ln x \) is the natural logarithm, which uses the mathematical constant \( e \approx 2.718 \)
That's why they're frequently used in modeling situations where growth tapers off, like the spread of technology.
Mathematical Modeling
Mathematical modeling is like making a mini-version of a real problem using math. This model helps us predict or understand complex systems better.
The function
To build such a model, we use data to find patterns, choose a suitable mathematical formula, and then plug values into this formula to get predictions.
In our example, we plug in the year from our original reference year (1979) to find out how much the adoption of cable changed.The strength of modeling is its predictive power.
The function
- \( f(x) = 18.32 + 15.94 \ln x \)
To build such a model, we use data to find patterns, choose a suitable mathematical formula, and then plug values into this formula to get predictions.
In our example, we plug in the year from our original reference year (1979) to find out how much the adoption of cable changed.The strength of modeling is its predictive power.
- By understanding past behavior, we can make informed guesses about the future.
- Technological adoption is often non-linear, capturing these nuances with a model gives clearer insights.
Percentage Calculations
Percentage calculations represent part of a whole as a fraction of 100.
They are exceedingly common in daily life, from discounts in shops to calculating interest rates.In our scenario, the calculation determines how many households out of a theoretical total 100 have cable TV.
Here's a quick guide to using our formula for percentage calculations:
They are exceedingly common in daily life, from discounts in shops to calculating interest rates.In our scenario, the calculation determines how many households out of a theoretical total 100 have cable TV.
Here's a quick guide to using our formula for percentage calculations:
- Identify your variables: We have \( x \), representing years since 1979.
- Use the formula: Plug the year into \( f(x) \).
- Example: For 1990, \( x = 11 \).
- Result: Calculate \( 18.32 + 15.94 \ln 11 \) which gives us approximately 50.79%
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