Linear middle of the distribution

MV is the linear middle of the distribution.

3, 3, 3, 3, 3, and, I don't know, 100.

Let's put this into action.

We just want a simple example.

The first is the one that you're probably most familiar with. It's the one and people talk about hey, the average on this exam or the average height. And that's the arithmetic mean.

The measurement has a mean of nu and a covariance of r squared.

So how would we measure, how much would we say the CPl U has grown?

This is just applying this formula over here.

So I'm going to compute the average of all the blue points, compute the average of all the red points and move my cluster centroids like this, and so, let's do that again.

And actually, there's types of means but we'll stick with the arithmetic mean.

So if someone just says the mean , they're really referring to what we typically, in everyday language, call the average .

And as we'll see, there's many types of averages.

They said, well, how can we do it?

Or you could say this is 62 .

Could Not Calculate Average

And here is the tricky part.

Could not calculate an average.

So in other words, this number is the average of my first five exams.

That line is broken up into 32 squares.

Now with that out of the way ... ... let's figure out what his average velocity was.

Compute for me the mean and the variance using the maximum likelihood estimator I just gave you.

It has 5 above and 5 below, and that happens to be a 3.

Average

Or it made them have higher kinetic energy, or higher average kinetic engery, and that's what temperature is a measure of average kinetic energy.

So if I take the average of 3 and 3 or I should be particular with my language.

This is what you do, for example, when you compute the mean outcome of an election from a sample of size N. You take the sum of the things you saw and you compute the mean.

You will see they go between 165,000 and 190,000.

You can do this in two lines.

Mean

Average Score

Average bitrate

By average

Average value

Mean Score

Average bitrate

Average bitrate

Average Bitrate

Mean

And the same things for the blue cluster centroid, look at all the blue dots and compute their mean, and then move the blue cluster centroid there.

The sum of all data points divided by the total number of data points.

So, there are phenomenas that make life difficult for us. Finally, the Pascal

3, 9, 3, 8, 2, 9, 1, 9, 2, and 4.

There is a little error over here, a little error over here, and here and here.

So, intuitively speaking, the formulas are really easy.