Examples of using Random variable in English and their translations into Polish
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                        Colloquial
                    
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                        Official
                    
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                        Medicine
                    
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                        Ecclesiastic
                    
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                        Ecclesiastic
                    
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                        Financial
                    
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                        Official/political
                    
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                        Programming
                    
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                        Computer
                    
And then we figured out the different probabilities that the random variable could take on different values.
It isn't true for any random variable, X.
So the probability that X is equal to 1-- the probability that our random variable is equal to 1 is equal to 6 times 0.3 times 0.7 to the fifth.
The probability of getting 2 heads-- probability that our random variable is equal to 2, what was that?
In the last video we defined our random variable x as the number of heads we get after flipping a coin five times, and it's a fair coin.
This random variable, number of heads after 5 flips-- you can't have an infinite number of values here.
Let's define random variable Y as equal to the mass of a random  animal selected at the New Orleans zoo,
But now, let's prove it to ourselves that this is really true for any a random variable that's described by a binomial distribution.
Let's think about-- let's say that random variable Y, instead of it being this, let's say it's the year that a random  student in the class was born.
So just so you get used to the notation, a random variable is usually a capital letter.
That's my random variable Z. Is this a discrete random variable  or a continuous random variable? .
Skellam has provided a model that allows to take the dynamics of populations as a random variable at any time t.
The points where jumps occur are precisely the values which the random variable may take.
So it's important to keep this distinction in mind, that a random variable-- it isn't a variable  in the traditional sense of the world.
Now I'm going to define random variable X to be the winning time-- now let me write it this way.
The random variable, the number of heads I get in 5 flips of the coin-- it was equal to 5 factorial divided by n factorial.
But if you can list the values that it could take on, then you're dealing with a discrete random variable.
But with a random variable, since the population is infinite, you can't take
Each of the values of probabilities for each of the random variable values-- you can figure them out by using your binomial coefficients.
And we saw if you actually figured out the probability distribution for this random variable you get that nice binomial distribution that looks a little bit like a bell curve.