Exercise 7 - The Prior Distribution
Assume a Bayesian model sets the prior distribution for Florida's election night spread \(d\) to be normal with expected value \(\mu\) and standard deviation \(\tau\).
What are the interpretations of \(\mu\) and \(\tau\)?
This exercise is part of the course
HarvardX Data Science Module 4 - Inference and Modeling
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