Models, assumptions, risks and consequences.
Models, assumptions, risks and consequences.
Expressing real life situations as mathematical models drive decisions on how to respond appropriately.
Assumptions are not facts but do have a probability of occurring. Confidence in a model is an important factor of both the likelihood of the assumptions being correct and the quality and quantity of the data used. Data sample sizes that are too small lead to low statistical significance and…
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