Let's separate simulation from summary. #2
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…2 being 0 (zero). Also, lets split this function so we can simulate and summarize our experiments separately.
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One of the great features of Bayesian data analysis is that the data, once we have it, is considered fixed. This means that we can make all kinds of summaries of our data without worrying about pesky things such as Type 1 errors. They're not defined under the Bayesian paradigm.