So given this data from your sample, what do you get as your sample mean?

They're going to sample your data and suck you dry!

But there's a reasonable chance that your sample mean Your sample is always going to be within your data sample, right?

So that's from the first sample, the contribution from the first sample.

The difference between that data point, The difference between that data point and our sample mean.

You take each of the data points, figure out how far they are from the sample mean.

So for every data point in our sample, so we have n of them we take that data point, from it we subtract our sample mean square it and then divide by the number of data points that we have.

They're saying that there are n data points in this sample.

It's always going to be the center of your data sample.

This thing is going to change from sample to sample.

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It is a sample from the sampling distribution of the sample mean.

What you do is you take the difference between each of the data points in the sample minus the sample mean.

As a sample from the sampling distribution.

And we're taking each data point. So each x sub i, and from it we're subtracting, we're subtracting the sample mean.

And that's equal to the sum of all the data points in the sample.

But it's completely possible that the population mean is outside of your data sample.

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So, the numerator is going to be the sum of each of my data points in my sample minus my sample mean.

Sample mean is equal to Once again, you take each of the data points now in the sample, not in the whole population.

It's being derived from these other sample statistics.

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