Examples of using It over here 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
Throw it over here.
So I will just write it over here.
Throw it over here.
And then let me paste it over here.
I will do it over here, because I don't want to lose this.
People also translate
OK, so I will do it over here.
Now all of a sudden, this is the y value that my line would predict, it's now using this x value and sticking it over here.
Let me do it over here.
So this right over here. Let me write it over here.
I will do it over here.
So this whole thing simplifies down to-- I will do it over here.
Don's got it over here.
So just based on our actual sample, we got-- let me write it over here.
And let me draw it over here, too.
So you could say that the span of my set of vectors-- let me put it over here.
Then the way we have written it over here is nice as well.
Well we would calculate it very similiar to how we would calculate it over here.
That is vector B, and when you do it over here you are just going to get vector C.
This is a sampling distribution of the sample mean-- let me write it over here-- 4n equals 36.
So, A, so I can write it over here, XY is equal to some constant times AB.
Adjacent-- let me write it over here.
So let's put it over here, this is 2.5 2.5 is halfway between 0 and 5 so that's 2.5 and then up here we have 12.5 and 12.5 is right over here. .
So let me write it over here.
The expected value of negative y-- I will do it over here-- the expected value of the negative of a random variable is just a negative of the expected value of that random variable.
Right? Yeah, and we will cut it over here.
We know that the derivative, let me write it over here, we know that the derivative with respect to x of the natural.
So C transpose, let me write it over here.
And we just calculated it at that value-- let me write it over here-- that 2.98-- I will write it right over here-- 2.98 over the square root of 10 is equal to 0.942.
Five minutes, tops. We can do it over here.
Well the squared distance from 0 to our mean-- let me write it over here-- it's going to be 0, that's the value we're taking on-- let me do that in blue since I already wrote the 0-- 0 minus our mean-- let me do this in a new color-- minus our mean.
