1780 Research ProjectThe project is simple – Pick something you want to learn about that is mathematically oriented and at hopefully at least tangentially related to probability theory, teach yourself...

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1780 Research ProjectThe project is simple – Pick something you want to learn about that is mathematically oriented and at hopefully at least tangentially related to probability theory, teach yourself about it, and then present your learnings to me!To give you a sense of what I’ll be looking for, here are some ideas of projects that I’d be interested in seeing. You are welcome to choose any of these topics for yourself, or come up with your own:• An explanation of Markov chains along with some applications and examples. (Recommended if you are interested in connecting probability theory to linear algebra, if you’ve taken that.)• An axiomatic derivation of the formula for entropy. (Recommended to those looking for a legit and concrete mathematical challenge.)• A presentation of a probability distribution(s) that we won’t be covering in this class, along with some applications, examples, and relationships to other distributions.• A presentation and mathematical analysis of a probabilistic algorithm.• A solution to an interesting problem in physics using probability theory.• An introduction to some other mathematical theory that you wanted to learn about (pendingmy approval)• Anything else at all which shows me that you put an honest attempt into learning somethingthat you are genuinely interested in!My life generally consists of me waking up, going somewhere around town, and teaching myself whatever math I’m interested in all day until my brain feels like it’s melting. My hope with this project is that you’ll experience what it’s like to spend a couple of days in my shoes and have some fun doing it.I would like to encourage everyone to pick something which seems challenging to them. Pick something that seems overly lofty and out of your current reach - see how far you can get! You might surprise yourself. You probably won’t fully learn what you picked out as a topic if you do this, but you’ll end up learning a ton of other stuff along the way! Just present that stuff to me. As long as I see that you made an honest attempt to learn something, that’s what I’m looking for. What I’m looking for is primarily effort, and secondarily success.On Thursday, March 21 – You will turn into me a short paragraph explaining what you plan to do for your project. You will receive this paragraph back the following week, and written with it will be one of three things:• Green check mark – You’re good to go. No issues, I like your idea. Go forth, my child.• Yellow box – I have concerns about your topic choice, but I am okay with your general idea. Youcan start doing research on it, but you should also come talk to me asap.• Red X – There’s problems. In the case of an X, there will be written details about how toproceed. A red X does not necessarily mean pick another topic entirely. It means you absolutely need to come talk to me or address the written details before starting research.This project is designed to be done individually. Depending on the situation, I might allow pairs of people to work together on a project. If two of you are committed to working together and turning in a
single project, then I will expect the quality of what is turned in to reflect the efforts of two people, and your grade will reflect that.Expectations:First and foremost, I am expecting to see some real mathematical theory, somewhere in your project. Do not simply watch a few Numberphile videos and assume that is enough research to write your project. I am expecting worked examples/proofs/derivations, formal definitions, and mathematical rigor. For example, if you are presenting a probabilistic algorithm, you need to prove to me that it actually works using the tools we’ve developed!Any sources that you heavily rely on should me cited in some capacity. I am not picky about where those sources come from. YouTube and Wikipedia are fine, but I would strongly encourage you to have at least one source external to both of those. If you are having trouble finding something which is approachable to you, come talk to me and I can help.Since this is a math project, I cannot reasonably expect the entire thing to be typed. Ideally, what you will turn in is a combination of typed explanation and neatly written mathematics, on paper which would be stapled to typed report. If you’d like to write everything down on paper you can, but I will expect it to be at the same level of readability as my notes on expectation, which are available to look at on the front page. You should use that as a quality reference for anything you write down. On the flip side, if you are interested in turning in something which is purely electronic, the standard markup language for mathematical texts is called LaTeX. The online browser based IDE called Overleaf is wonderfully convenient, and the language itself is quite easy to learn. This is by no means a requirement, however.So how do impose a length requirement, if the format is so loose? Lucky for you, I’ve essentially done my own version of this project already. On canvas, you can find my own project, BPP and the Chernoff Bound. (Which we’ll go over as a class once we finish talking about the Binomial distribution.) This can be seen as a minimal amount of material which would receive a good grade. It’s got some exposition, some definitions, a dash of rigorous math, an illustrative example, and some genuine interest involved. As long as I can see all of these things, or at least a solid attempt at all of these things, then you’ll receive a good grade.That’s all for now. The project will be due near the end of the semester. I’m not sure of an exact date yet. It is worth a full test grade. Truly exceptional efforts might even be worth more than a test grade! If you are worried about your grade in this class, the best way to show me that you care would be to go above and beyond on this. I guarantee you that will be taken into account when assigning final grades.
Answered Same DayApr 25, 2021

Answer To: 1780 Research ProjectThe project is simple – Pick something you want to learn about that is...

Rajeswari answered on Apr 25 2021
161 Votes
Topic selected is Binomial and Poisson distribution as these are mathematically oriented and tangentially related to probability theory.
A presentation of a probability distribution(s) that we won’t be covering in this class, along with some applications, exampl
es, and relationships to other distributions:
Terms used with meanings/definitions:
Probability – Probability is the likelihood of an event occurring. In layman’s word it can be said as a chance. In formula, it can be said as
Probability = /total number of possible outcomes
Probability distribution:
A probability distribution is a mathematical function that provides the probabilities of occurrence of different possible outcomes in an observational study.. The probability distribution is a form of table or formula to find out the probability of any particular value the random variable takes or range of values...
The distribution gives a formula which is applicable for any value the random variable x can take such that total probability is always 1.
A discrete variable is one which has one to one correspondence with the set of natural numbers though infinite. i.e. we can count the values of x in a discrete variable case.
A continuous variable represents the range of values within the intervals such as [a,b] so that there may be infinite values which the random variable can take. This is not countable.
Probability mass function or probability density function is the function which gives the formula for calculating the value of probability for a certain value of x or a range of values of X
A cumulative probability function normally denoted by F(x) gives the probability for X<=x.
Binomial distribution:
What is a Bernoulli or binomial trial?
In the theory of probability, a Bernoulli or binomial trial is one which has exactly two outcomes, one success and other failure. And also the probability of success remains the same in each trial. Sometimes say there are four coloured balls, taking a green ball can be termed as binomial as one green and other outcome non green.
Examples are
i) tossing of a coin: When a fair coin is tossed irrespective of the previous results of outcomes the probability for head remains the same as 0.5
ii) Throwing a die: Similarly when a die is thrown the probability for getting say 3 is the same for each trial i.e. each trial is independent of the other.
iii) When a card is drawn from a deck of cards and replaced and again a card is drawn for a number of times, we get p = probability for getting the king remains the same. Thus with replacement problems will have binomial trials.
A binomial experiment is...
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