Examples of using This distribution 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
Let's look at this distribution.
And so this distribution is going to have some mean.
That's impossible for this distribution.
I like this distribution because it's a very non-normal distribution. .
What is the variance of this distribution?
This distribution box terminates outside optical cables with up to 8 fibers;
So the mean of this distribution is P1.
So I can get any value less than 20 given this distribution.
The variance of this distribution by the central.
Times the standard deviation of this distribution.
This distribution box terminates outside optical cables with up to 16 fibers;
And what's the variance of this distribution?
So if you were look at this distribution, the mean of this distribution is 0.6.
Let's do the standard deviation of this distribution.
And likewise in this distribution, your median-- your middle value-- might be some place like this.
The standard deviation of this distribution is 0.099.
So this distribution, once again, we don't know whether it's a normal distribution or not.
So it is very unlikely that this distribution is true.
The variance of this distribution, we will call that variance one, is just these two proportions multiplied by each other.
So our standard deviation of this distribution is 0.24.
And to figure out what that distance is, we're going to have to figure out what the standard deviation of this distribution is.
Now this variance over here, the variance of this distribution-- let me draw it like this, or even better.
So there's some standard deviation associated with this distribution.
Well, to get a sample mean, or at least for this distribution, you're taking n samples from this population over here.
So there's the 95% confidence interval for the mean of this distribution.
And the variance of this distribution, P1 minus P2, just like this, is going to be the sum of the variances of these two distributions. .
The mean, the expected value of this distribution, is p.
And that sample mean, maybe it's 15.2, could be viewed as a sample from this distribution.
We have a Bernoulli Distribution right over here, and we know that the mean of this distribution or the expected value of this distribution is actually going to be p.
So we will reject what he's telling us; we will reject this distribution.