Examples of using Random variable in English and their translations into Polish
{-}
-
Colloquial
-
Official
-
Medicine
-
Ecclesiastic
-
Ecclesiastic
-
Financial
-
Official/political
-
Programming
-
Computer
That's a random variable.
Random variable of luck.
I have changed the random variable now.
And the random variable, X, is the number of shots I make.
Let's say that I have random variable X.
And the random variable is just that function mapping.
So this is clearly a discrete random variable.
Let's define a random variable, X, like we always do.
So this right over here is a continuous random variable.
With a discrete random variable, you can count the values.
We are now dealing with a discrete random variable.
We can define a random variable that will quantify it.
So this is my definition of my random variable.
The change in the random variable z over this interval of time is dz.
So once again, this right over here is a discrete random variable.
Suppose you want to sample some random variable X with distribution fx.
Σ- standard deviation, E(X)- expected value of X,X- random variable.
A continuous random variable could take on an infinite number of outcomes.
It isn't true for any random variable, X.
We defined our random variable, x, as the number of shots I make out of 6.
What is the probability that my random variable is equal to 2?
Only true for random variable, X, whose probability distribution is the binomial distribution.
There are discreet values that this random variable can actually take on.
They are not discrete values. So this one is clearly a continuous random variable.
Thus V is independent of the random variable dz; i.e., is a risk free portfolio.
Well now, we can actually count the actual values that this random variable can take on.
The random variable dz represents an accumulation of random influences over the interval dt.
We're summing over all of the values that our random variable can take.
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.
They're all particular finite numbers that we care that our random variable can take on.