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This goes on until all input variables are changed.

This should be done with respect to the probability distributions of the input variables.

One input variable is how long it takes to drive from my house to the airport parking garage.

Decisions are reached through quantitative analysis and model building by simply using a best guess (single value) for each input variable.

With this approach, a probability distribution is provided for each input variable, rather than a single best guess.

Scenarios (such as best, worst, or most likely case) for each input variable are chosen and the results recorded.

The goal is to create a model that predicts the value of a target variable based on several input variables.

The most likely combinations of input variables which produce satisfactory response values.

This is despite the presence of random variability within the input variables.

It is calculated based on n functions of the single input variable.