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Logistic Growth Model Concepts

Logistic Growth Model Concepts

Assessment

Interactive Video

Mathematics, Biology, Science

9th - 10th Grade

Practice Problem

Hard

Created by

Patricia Brown

FREE Resource

The video tutorial explains how to write a logistic growth equation and calculate a population after a given time. It starts with an introduction to logistic growth, defining initial population and carrying capacity. The tutorial then derives the logistic growth equation, solves for the constant K using given data, and finalizes the model. Finally, it demonstrates how to use the model to calculate the population after 4 years, showing that it approaches the carrying capacity.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the initial population given in the problem?

500

1000

2500

10000

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the carrying capacity represent in a logistic growth model?

The rate of population growth

The time it takes for the population to double

The maximum population the environment can support

The initial population size

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which formula is used to describe how population changes over time?

P = P0 + rt

P = K / (1 + Ae^(-rt))

P = P0 * e^(rt)

dP/dt = rP(1 - P/K)

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of integrating the equation for dP/dt?

To calculate the growth rate

To find the initial population

To determine the carrying capacity

To model the population over time

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the value of the constant K after solving the equation?

ln(5)

ln(4)

ln(3)

ln(2)

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the constant K determined in the logistic growth equation?

By using the carrying capacity

By using the initial population

By using the rate of change of population

By using the population after a specific time

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the final logistic growth equation derived in the video?

P(t) = 10000 / (1 + 10e^(ln(3)t))

P(t) = 10000 / (1 + 9e^(ln(2)t))

P(t) = 10000 / (1 + 8e^(ln(3)t))

P(t) = 10000 / (1 + 9e^(ln(3)t))

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