The idea of final paper

Here I have a project draft that I order on Bestessaytip last week, but I got a D. I put feedback from professors below. Please take a look and rewrite the papers. You can write a new one as well. Please do better.

Don’t need title paper.        One paper of the cord.

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.

This paper needs five sources and I have already got five Annotated Bibliography that you can use them.

Required by professor

Professor Comments

Reviewer 1:
I would consider rewording/rewriting the second paragraph about the frequentist intervals as it is confusing and I’m not exactly sure what is meant by it.
Make sure you are properly defining what a frequentist interval actually means. There are places where your interpretations are not correct.
I might consider spending more time on explaining what it is that frequentist want to say that they can’t and how bayesian are able to make those types of statements.
I am not able to follow the example in terms of what the experiment is and what confidence intervals we are trying to create. The tables are labeled as probabilities but only contain numbers larger than 1?  Overall I am just very confused.
Reviewer 2:
Be sure to edit more closely when your draft is closer to being finalized; in just the first paragraph I see “disapprove” should be “disprove,” and also frequentist “uses” but Bayesian “utilizes”; that should be consistent.
I’m confused by the diabetic example; why should I expect data from one country tell me about another?
“credible interval t”; what is “t”? Notation should be clearly defined, though in this case, it feels better to just use words alone.
Where did the data come from? Is it real data? Did you make it up?
Each packet contains 100 or 200? You say both.
Probability of getting “a” sour candy? What are the numbers 0 to 4 on the left of the table? These can’t be probabilities (percents, more accurately) because some are bigger than 100. What are these numbers?
I’m really confused; you’re making a confidence/credible interval on the packet color? How does that even make sense? Is it really a confidence/credible set (ie, I’m confident it’s one of the following colors…?)
I don’t know what’s in these tables under Procedure; there are “{}” characters and the columns are mixed up for the Bayesian one…
Are these supposed to be examples? What’s actually the result for the frequentist one? You show me an integral, but don’t calculate it. Should it really be an integral, with discrete parameter space?
Somehow you didn’t mention “prior” until the next to last sentence. This is a core idea that needs to be introduced and explained much earlier.
Estimate of grade, in current state: D
The background is a decent start but needs more details and clarity; it sometimes isn’t even quite clear that what you’re saying is correct. The data example is impossible to understand in its current state.