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
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 got 142 1's, or we sampled 1, 142 times from this distribution.
So we will reject what he's telling us; we will reject this distribution.
They're just asking us one question, so you can mark this distribution up a good bit.
Now this variance over here, the variance of this distribution-- let me draw it like this, or even better.
And if you wanted the standard deviation of this distribution right here, you just take the square root of both sides.
If we want the standard deviation of this distribution right here, this is the variance right now, so we just need to take the square roots.
Limit theorem is going to be the variance of this distribution up here, which is P1 times 1 minus P1 over our sample size, over 1,000.
Now, this distribution over here is going to be the distribution of all of the differences of the sampling proportions, or of the sample proportions.
This distribution fiber optic cable is used for interconnection of the distribution boxes and end devices.
This distribution box terminates outside optical cables with up to 16 fibers;
But in the context of the simulation, it's just telling us how normal this distribution is.
And if we want that in terms of standard deviations, we just divide this by the standard deviation of this distribution over here.
So what z is, z is a random variable where you're taking n samples from this distribution up here, this population distribution, taking its mean.
So if we go back up over here, we calculated the standard deviation of this distribution to be 0.617.
He said, oh I have already figured that out. And he gives me this distribution over here.
So just for fun let me make a-- I will just mess with this distribution a little bit.
And then the variance of this, and we have seen this several times already, the variance of this distribution, I have to put a one here, we're dealing with the men.
So if you took 4 numbers from this distribution, 4 random numbers where let's say this is the probably of a 1, 2, 3, 4, 5, 6, 7, 8, 9.
To make it work, We have to burn the image of an operating system for Raspberry, in this tutorial I will be based in Raspbian, as it is based on Debian, allowing me to apply my knowledge in this distribution, and get the maximum juice to the Raspberry.