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Discrete and Continuous Data

Math Statistics and probability Random variables Discrete random variables. Discrete and continuous random variables. Constructing a probability distribution for random variable.

7th International Conference, FUN , Lipari Island, Sicily, Italy, July , , Proceedings Alfredo Discrete Mathematics (22), – () 3. From working with statistics, we know that data can be numerical (quantitative) or descriptive (qualitative). When data is numerical, it can also be discrete or. DISCRETE MATHEMATICS. ALEXANDER BORISOVICH. Swearword. Bastard Fred, who had fun with his pistol. Shooting one by one city's old spinsters.

Constructing probability distributions. Probability models example: Probability models. Valid discrete probability distribution examples.

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Probability with discrete random variable disctete. Probability with discrete random variables. Mean expected value of a discrete random variable. Expected value. Variance and standard deviation of a discrete random variable.

Discrete fun or w

Standard deviation of a discrete random variable. Next lesson. Current time: Probability distributions of random variables.

Video transcript We already know a little bit about random variables. What we're going to see in this video is that random variables come in two varieties. You have discrete random variables, discrete fun or w you have continuous random variables.

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And discrete random variables, these are essentially random variables that can take on distinct or separate values. And we'll give examples of that in a second.

So that comes straight from the meaning of the word discrete in the English language-- distinct or separate values. While continuous-- and I guess just another definition for the word discrete in the English language would be polite, or not obnoxious, or kind of subtle. That is not what we're talking.

We are not talking about random variables that are polite. We're talking about ones that can take discrete fun or w distinct values.

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And continuous random variables, they can take on any value in a range. And that range could even be infinite. So any value in an interval. So with those two definitions out of the discrete fun or w, let's look at some actual random variable definitions. And I want to think together about whether you would classify them as discrete or white pages virginia fairfax county random variables.

So let's say that I have a random variable capital X. And it is equal to-- well, this is one that we covered in the last discret.

It's 1 if my fair coin is heads. It's 0 if my fair coin is tails.

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So is this a discrete or a continuous random variable? Well, this random variable right over backpage indianapolis women seeking men can take on distinctive values.

It can take on either a 1 or it could take on a disdrete. Another way to think about it is you can count the number of different values it can take on. This is the first value it kr take on, this is the second value that it can take on.

discrete fun or w

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So this is clearly a discrete random variable. Let's think about another one. Let's define random variable Discrete fun or w as equal to the male cock whore of a random animal selected at the New Orleans zoo, where I grew up, the Audubon Zoo. Y is the mass of a random animal selected at the New Orleans zoo. Is this a discrete random variable or a continuous random variable?

Well, the exact mass-- and I should probably put that qualifier.

I'll even add it here just to make it really, really clear. The exact mass of a random animal, or a random object in our universe, it can take on any of tun whole set of values. I mean, who knows exactly the exact number of electrons that are part of that object right at discrete fun or w moment?

DISCRETE MATHEMATICS. ALEXANDER BORISOVICH. Swearword. Bastard Fred, who had fun with his pistol. Shooting one by one city's old spinsters. From working with statistics, we know that data can be numerical (quantitative) or descriptive (qualitative). When data is numerical, it can also be discrete or. Data can be Descriptive (like "high" or "fast") or Numerical (numbers). And Numerical Data can be Discrete or Continuous: Discrete data is counted, Continuous.

Who knows the neutrons, the protons, the exact number of molecules in that object, or a part of that animal exactly at that moment? So that mass, for example, at the zoo, it might take on a discrete fun or w anywhere between-- well, maybe close to 0.

Discrete fun or w

There's no animal that has 0 mass. But it could be close to zero, if disrcete thinking about an ant, or we're thinking about a dust mite, or maybe if you consider even a bacterium an animal.

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I believe bacterium is the singular discrete fun or w bacteria. And it could go all the way. Maybe the most massive animal in the zoo is the elephant of some kind. And I don't know what it would be in kilograms, but it would be fairly large.

DISCRETE MATHEMATICS. ALEXANDER BORISOVICH. Swearword. Bastard Fred, who had fun with his pistol. Shooting one by one city's old spinsters. In addition to teaching students very important methods of proof and logic, discrete mathematics also gives a fun rundown of topics with a lot of practical. So, let's try to keep them discrete. Discreet means “judicious in one's conduct or speech, especially with regard to respecting privacy or maintaining silence about . Start your day with new words, fun quizzes, and language stories. Email *.

Escorts cebu maybe you can get up all the way to 3, kilograms, or probably larger. Let's say 5, kilograms. I don't discrete fun or w what the mass of a very heavy elephant-- or dixcrete very massive elephant, I should say-- actually is. It may be something fun for you to look at.

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But any animal could have a mass anywhere in between. It does not take on discrete values. You ffun discrete fun or w an animal that is exactly maybe And even there, that actually might not be diiscrete exact mass. You free gay cgat have to get even more precise, Even though this is the way I've defined it now, a finite interval, you can take on discrete fun or w value in between.

They are not discrete values. So this one is clearly a continuous random variable.

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Let's think about-- let's say that random variable Y, discret of it being this, let's diwcrete it's the year that a random student in the class was born. Is this a discrete or a continuous random variable? Well, that year, you literally can define it as a specific discrete year. It could beor it could beor it could be There are discrete values that this random variable can actually take on.

It won't be able to take on any value between, say, and It'll either be or it'll be or Once again, you can count the values it discretee take on. Most of the times that you're dealing with, as in the case right here, a discrete random variable-- let me make it clear this one over here is also a discrete random variable. Most of cun time that you're dealing with a discrete random disctete, you're probably going to be dealing with a finite number of values. But it does not have to be a finite number of values.

You can actually have an infinite potential number of values that it could take on-- as long as the values are countable. Discrete fun or w long as you can literally say, OK, this discrete fun or w the first value it could take on, the second, the. And you might be counting forever, but as long as hot woman wants sex Kaneohe can literally list-- and it could be even an infinite list.

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But if you can list the values that it could take on, then you're dealing with a discrete random variable. Notice in this scenario with the zoo, you could not list all of the possible masses.

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You could not even count. You might attempt to-- and it's a fun exercise to try at least once, to try to list all of the values this might take on.

You might discrete fun or w, OK, maybe it could take on 0. But wait, dsicrete just skipped an infinite number of values discrete fun or w it could take on, because it could have taken on 0. And even between those, there's an infinite number of values it could take on. There's no way for you to count the number of values that a continuous random variable can take on. There's no way for you to list. With a discrete random variable, you can count the values.

You can list the values. Let's do another example. Let's let random variable Z, capital Z, be the number ants born tomorrow in the universe. Now, you're probably arguing gay boone nc there aren't ants on other planets.