The idea of final paper: I want to focus on the difference between the frequentist confidence interval and the Bayesian credible interval. And I think the Frequentist considers model parameters to be fixed and data to be random, while Bayesian considers model parameters to be random and data to be fixed. And I would like to force on the difference and how these two works and collect some data and try both approaches, and use that to illustrate the differences in understanding of the probability statements for both.

 

 

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