Question 4

1. What is the difference between model verification and model validation?

   		Model verification is concerned as to how well the model represents the real situation. Model validation is the process of ensuring the model is accurate and free of errors. For a given set of inputs, the outputs are what the developers intended.
   		They are interchangable terms.
   		One leads the other: if a model is well verified it will automatically be validated.
   		Model verification is the process of ensuring the model is accurate and free of errors. For a given set of inputs, the outputs are what the developers intended. Model validation is concerned as to how well the model represents the real situation.

Question 5

1. Pretty much the whole point of developing a model is so that you can do "what-if analyses" with it. What-if analysis lets you test your assumptions, see how sensitive your model is to your inputs, and a way of experimenting with different possible solutions to your original problem.

   True

   False

When the inputs to a model are uncertain, the outputs are uncertain as well. Simulation doesn't remove the uncertainty, but it helps you understand it better.

True

False