(c) 2016 Justin Bois. This work is licensed under a Creative Commons Attribution License CC-BY 4.0. All code contained herein is licensed under an MIT license.
This tutorial exercise was generated from an Jupyter notebook. You can download the notebook here. You can also view it here. Use this downloaded Jupyter notebook to fill out your responses.
Describe the key differences between parameteric and nonparametric approaches to data analysis.
Discuss the similarities and differences between a frequentist confidence interval and a Bayesian credible region. It will help to define both.
Discuss the similarities and differences between a p-value obtained in a frequentist null hypothesis significance test to a Bayesian odds ratio. Again, it will help to define both.