Problem 20
Question
For the following exercises, use a graphing calculator and this scenario: the population of a fish farm in \(t\) years is modeled by the equation \(P(t)=\frac{1000}{1+9 e^{-0.6 t}} .\) To the nearest whole number, what will the fish population be after 2 years?
Step-by-Step Solution
Verified Answer
The fish population after 2 years will be 270.
1Step 1: Understand the Formula
The given equation models the fish population in a fish farm over time. It is given by \( P(t) = \frac{1000}{1 + 9 e^{-0.6t}} \), where \( t \) is the number of years, and \( P(t) \) represents the population at time \( t \). We need to find \( P(2) \), the population at \( t = 2 \) years.
2Step 2: Substitute \(t = 2\) into the Formula
Substitute \( t = 2 \) into the equation: \( P(2) = \frac{1000}{1 + 9 e^{-0.6 \times 2}} \). This helps to find the fish population at time \( t = 2 \).
3Step 3: Calculate the Exponential Part
Calculate the exponential term \( e^{-0.6 \times 2} \). This simplifies to \( e^{-1.2} \), which needs to be calculated using a calculator to get approximately 0.3012.
4Step 4: Perform the Arithmetic Operations
With the calculated value of \( e^{-1.2} \), substitute back in: \( P(2) = \frac{1000}{1 + 9 \times 0.3012} \), which simplifies to \( \frac{1000}{1 + 2.7108} = \frac{1000}{3.7108} \).
5Step 5: Final Calculation
Calculate \( \frac{1000}{3.7108} \) using a calculator. This gives a result of approximately 269.5.
6Step 6: Round to the Nearest Whole Number
Round 269.5 to the nearest whole number. The nearest whole number is 270.
Key Concepts
Population Growth ModelsExponential FunctionsArithmetic Operations
Population Growth Models
Population growth models provide valuable insights into how populations change over time. These models help in predicting future populations based on certain assumptions and initial conditions.
They are essential for managing resources, like fish in a fish farm, by providing a systematic way to predict population dynamics.In the fish farm scenario, the population growth model is represented by the equation:
In this equation:
As time goes on, the rate of growth slows, illustrating how resources or space in a farm become limited over time. These features make growth models crucial in planning and managing biological resources effectively.
They are essential for managing resources, like fish in a fish farm, by providing a systematic way to predict population dynamics.In the fish farm scenario, the population growth model is represented by the equation:
- \( P(t) = \frac{1000}{1+9e^{-0.6t}} \)
In this equation:
- \( P(t) \) represents the fish population at time \( t \) years,
- \( e \) is the base of the natural logarithm,
- The exponent \(-0.6t\) determines the rate of population change over time.
As time goes on, the rate of growth slows, illustrating how resources or space in a farm become limited over time. These features make growth models crucial in planning and managing biological resources effectively.
Exponential Functions
Exponential functions are characterized by variables in the exponent. They are written in the form \( f(x) = a \cdot e^{bx} \).
Here, \( e \) is a mathematical constant approximately equal to 2.71828, which represents base exponential processes.In our fish population model, the function involves an exponential element:
It shows that as \( t \) (years) increases, the term \( e^{-0.6t} \) decreases, becoming closer to zero.
In other words, the initial rapid growth rate tapers off due to the negative exponent. Studying this behavior helps in understanding natural processes such as population growth, radioactive decay, and compounding interest. These functions are powerful due to their ability to model real-world phenomena that involve growth or decay.
Here, \( e \) is a mathematical constant approximately equal to 2.71828, which represents base exponential processes.In our fish population model, the function involves an exponential element:
- \( e^{-0.6t} \)
It shows that as \( t \) (years) increases, the term \( e^{-0.6t} \) decreases, becoming closer to zero.
In other words, the initial rapid growth rate tapers off due to the negative exponent. Studying this behavior helps in understanding natural processes such as population growth, radioactive decay, and compounding interest. These functions are powerful due to their ability to model real-world phenomena that involve growth or decay.
Arithmetic Operations
Arithmetic operations are fundamental mathematical processes, which include addition, subtraction, multiplication, and division.
In our exercise, arithmetic operations are crucial for solving the given formula and projecting the population of the fish farm at \( t = 2 \) years.Here are the arithmetic steps taken:
These simple operations combined determine the precision of solving population and any other mathematical models effectively.
In our exercise, arithmetic operations are crucial for solving the given formula and projecting the population of the fish farm at \( t = 2 \) years.Here are the arithmetic steps taken:
- Substitute \( t = 2 \): \( P(2) = \frac{1000}{1 + 9e^{-1.2}} \)
- Calculate \( e^{-1.2} \), approximately 0.3012 using a calculator.
- Multiply: \( 9 \times 0.3012 = 2.7108 \).
- Add: \( 1 + 2.7108 = 3.7108 \).
- Divide: \( \frac{1000}{3.7108} \approx 269.5 \).
- Finally, round to the nearest whole number: 270.
These simple operations combined determine the precision of solving population and any other mathematical models effectively.
Other exercises in this chapter
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