Can you open the pdf and it’s not blank?
Is the report anonymous?
Is the source code included?
Are the prior, likelihood and posterior forms in a) reported? Derivation of posterior is not necessary.
In a), is the reported resulting posterior correct …?
In part b), is there at least one point estimate reported. Sample based estimates are also ok. Points should be given if the method is right, even if the result is wrong due to a wrong posterior distribution being used. With the right posterior, mean, median, and mode are all approximately ….
In part b), is the 90% posterior interval estimate reported? Sample based estimate is ok.
In part c), is the posterior probability Pr(π<0.2|y) reported? Points should be given if the method is right, even if the result is wrong because the posterior used was wrong. If the posterior was right, the result should be approximately ….
For the d) part, does the report discuss …?
For the e) part, is there some comparison and discussion of results obtained with alternative prior parameters?
Overall quality of the report
Does the report follow the formatting instructions?
In case the report doesn’t fully follow the formatting instructions, specify the formatting instruction that is not followed. If applicable, specify the page of the report, where this difference in formatting is visible.
Please provide also feedback on the presentation (e.g. text, layout, flow of the responses, figures, figure captions). Part of the course is practicing making data analysis reports. By providing feedback on the report presentation and other students can learn what they can improve or what they already did well. You should be able to provide constructive or positive feedback for all non-empty reports, even if there is nothing to say about the technical correctness of the answers. You can also provide feedback on code.