Examples of using Expected value in English and their translations into Thai
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Colloquial
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Ecclesiastic
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Ecclesiastic
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Computer
This might look really confusing with all these embedded expected values.
That's just going to be product of those two expected values.
Now you may or may not already know these properties of expected values and variances, but I will reintroduce them to you.
The expected value of the sum and difference of a bunch of random variables is just the sum or difference their expected values.
It should also be noted that guide prices are based on the UK market and expected values.
If x is completely independent of y and if I have some random variable that is the sum of the two, then the expected value of that variable, of that new variable, is going to be the sum of the expected values of the other two because they are unrelated.
And this is a property of expected values-- I'm not going to prove it rigorously right here-- but the expected value of x plus the expected value of y, or another way to think about this is that the mean of z is going to be the mean of x plus the mean of y.
Now what is the expected value of negative y?
So what's its expected value going to be?
What is the expected value of z going to be?
So the expected value of that is going to be itself.
And of course it's the expected value of this entire thing.
Now what is the expected value of negative y right over here?
So your expected value is really going to be 30 percent times one dollar.
So this is going to be the same thing as the expected value of.
So the expected value of our random variable is going to be each outcome.
So you can view it as we factor it out of the expected value.
First of all, we know what the expected value of this random variable is.
And now, we will actually figure out what the expected value of this is.
And that's how you do it for an expected value of a random variable.