Imagine that you are trying to explain to a friend who is not familiar with statistics about Goodness of Fit.Please explain what this test proves or doesn't prove and give a real world or career application using Goodness of Fit.I.e., Explain what the results mean if you fail to reject the Null Hypothesis or if you accept the Null Hypothesis.

I am stuck on breaking it down into laymen's terms versus the actual book definition.