Logistic

Continuous distribution for modeling growth.

Parameters

Mean: Mean of the distribution.

Scale: Scale of the distribution.

Applications

Applied in modeling market penetration and new product adoption, growth that levels off over time, and variables with heavier tails than the normal.

To apply Monte Carlo simulations to the inputs/outputs of your model, see the Scenarios - Monte Carlo module.

Logistic

Outputs

Plot: Histogram of the distribution with selected Confidence Interval.

Data: Confidence Intervals, Summary Statistics and Percentiles. See a sample Monte Carlo output.

View demo for Normal distribution

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