Models, assumptions, risks and consequences.
Models, assumptions, risks andĀ consequences.
ExpressingĀ real life situationsĀ asĀ mathematical models drive decisionsĀ on how to respond appropriately.
Assumptions are notĀ facts but do have aĀ probability of occurring. Confidence in a model isĀ an important factor of both theĀ likelihood ofĀ the assumptions being correctĀ and the quality and quantity of the data used. Data sample sizes that are too small lead to low statistical significance andā¦
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