Examples of using Sample mean 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
The sample mean of 17.17.
So this is my sample mean.
So our sample mean here is 2.34.
And that's the sample mean.
We get a sample mean that is way out here.
I have another sample mean.
That sample mean is a random variable.
I kept getting the sample mean 2.75.
So it's the sample mean of x1 minus the sample mean of x2.
And my y-axis, let me make that the sample mean.
I plot the sample mean on here.
So we assume that we only have the sample mean.
And I consider this the sample mean from my first trial.
The sampling distribution of the sample mean.
His sample mean, 2, minus the mean of means, squared.
And then the variance of a sample mean-- and this was a.
That is called the sampling distribution of the sample mean.
The sample of P1 minus the sample mean, or the sample proportion, of P2.
It's the sampling distribution of the sample mean.
So when we get our sample mean we are sampling from the sampling distribution of the sampling mean. .
And E[X] can be approximated by the sample mean of X.
So at least for your sample you say"My sample mean is 2 hours of television." It's an estimate, it's a statistic that is trying to estimate this parameter, this thing that is very hard to know.
You had your sampling distribution of the sample mean.
But when we talk about the sample mean and the sampling distribution of the sample mean which we're going to talk more and more about over the next few videos, normally the sample refers to the set of samples from your distribution.
So this is the sampling distribution of the sample mean.
We figured out the sum of squares between each data point and its central tendency, its sample mean, we figure out and we totaled it all up, we got 6 for the sum of squares within.
Let's take the sampling distribution of the sample mean.
Or when we're dealing with an actual statistic when it's derived from the sample mean statistic, we call this a Z-statistic.
And you could add them up and divide by 7 and get your sample mean.
This is the variance of our mean of our sample mean.