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    • F(t) = 300 ⋅2(t/12

      • Every twelve years, the population doubles, and the exponent becomes an integer based on n = t/12. To model the population at any arbitrary year, we rewrite the exponential function in terms of the doubling time. f(t) = 300 ⋅2(t/12) or more generally f(t) = 300 ⋅2(t/T), where T is the doubling time.
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  2. Doubling time and half life. If a population size $P_T$ as a function of time $T$ can be described as an exponential function, such as $P_T=0.168 \cdot 1.1^T$, then there is a characteristic time for the population size to double or shrink in half, depending on whether the population is growing or shrinking.

  3. A function that models exponential growth doubles in size after a characteristic time, T, called the doubling time. The exponential growth function can be written in the form. f(t) = A (2)t/T. where. A is the initial or starting value of the function. t is the time that has passed since the growth began.

  4. Jul 18, 2022 · There is a simple formula for approximating the doubling time of a population. It is called the rule of 70 and it is an approximation for growth rates less than 15%. Do not use this formula if the growth rate is 15% or greater.

  5. This free textbook is an OpenStax resource written to increase student access to high-quality, peer-reviewed learning materials.

  6. We may use the exponential growth function in applications involving doubling time, the time it takes for a quantity to double. Such phenomena as wildlife populations, financial investments, biological samples, and natural resources may exhibit growth based on a doubling time.

  7. Dec 1, 2023 · This current section focuses on doubling time, half-life, and related problems. Doubling Time ($\,d\,$): Doubling time formula derived from $\,P(t) = P_0\,{\text{e}}^{rt}\,$: $$\cssId{s10}{d = \frac{\ln 2}{r}}$$

  8. Simple doubling time formula: where. N ( t) = the number of objects at time t. Td = doubling period (time it takes for object to double in number) N0 = initial number of objects. t = time.

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