Insights from the prior and data
Your prior & (scaled) likelihood models for \(m\), the average change in reaction time, are shown together here. The prior reflects information we had about \(m\) prior to running the sleep study. The likelihood reflects the relative compatibility of different \(m\) values with the data observed on the 18 sleep study subjects. Which of the following best describes the insights from the prior and likelihood?
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Bayesian Modeling with RJAGS
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