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Exponential vs Logistic Growth Practice Problems

Start by deciding whether anything limits the growth, then read the carrying capacity and starting value straight off the logistic formula. The harder problems ask when the population reaches a target, which means isolating e^(−kt) and taking a natural log.

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Exponential vs Logistic Growth Practice Problems

These problems follow the exponential vs logistic growth lesson. The time questions use the same steps as solving exponential equations.

The two models

FormulaKey facts
Exponentialno upper limit
Logistic, levels off at
Fastest logistic growthat

Before you calculate

Check the sign in the exponent: a logistic model uses . When solving for time, isolate the exponential term completely before taking the natural log.

Common mistakes to watch for

  • Expecting logistic growth to keep accelerating. Logistic growth slows as it nears the carrying capacity.
  • Mixing up the carrying capacity. In , is the maximum population.
  • Using the exponential model too long. Exponential growth fits early data but overshoots once resources limit growth.
  • Misplacing the inflection point. Logistic growth is fastest at half the carrying capacity.

Frequently Asked Questions

How do I tell whether a problem is exponential or logistic?+

Look for a limit. If the description mentions limited food, space, customers or people, or says growth slows as the population gets bigger, it is logistic. If nothing caps the growth, it is exponential.

How do I read K and the starting value from a logistic formula?+

In P(t) = K / (1 + Ae^(−kt)) the numerator is the carrying capacity K. The starting value is K / (1 + A), found by setting t = 0.

How do I solve for the time in a logistic model?+

Set the formula equal to the target, take reciprocals to isolate 1 + Ae^(−kt), subtract 1, divide by A, then take the natural log of both sides and divide by −k.

How should I enter my answers?+

Type numbers without commas, for example 1800. Round to the place the question asks for; answers within the stated rounding are marked correct. For the classification questions, type exponential or logistic.

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