And, there's a standard deviation of the distribution of sample means, standard air.

So, Kingsley decided she would finish the book for him.

And similarly, you know,

And the heat.

And so therefore, their kinetic energy can be characterized by a velocity dispersion.

Let me ask the hard question now.

In this video, I'd like to talk about the Gaussian distribution, which is also called the normal distribution.

little higher than if you do it, uh, orally. So we looked at this histogram before.

So first let's revisit this normal distribution.

I'm missing my wallet! Should have some ID.

Let me make it very clear.

Dispersion of the normal distribution

Putting it in population parameters, but putting it in sample statistics.

And I have to explain to you, the top of this graph shows you that frequency distribution that I talked about.

What we're going to do, is assume that the feature,

You see, when you use the silencer a lot, you have to put a piece of cloth here, because it gets very hot and could burn it inside.

Suppose you're localizing another vehicle, and you have a prior distribution that looks as follows.

Mean of the distribution

Your purse?

So, we're just looking at frequency on the y axis.

Then we have a Gaussian distribution that is centered around zero, because that's Mu.

Intuitively speaking, this is the case because we actually gain information.

Thus, I suspect that each of these examples was distributed according to a normal distribution or

This tells you the height of the normal distribution function.

And maybe it comes out like that.

0 density, 1 distribution

If you remember from lecture two when we started to talk about probability, we can use the normal distribution.

So, let's go back to that normal distribution.

A positive times a positive contributes more to the sum.

So I can get any value less than 20 given this distribution.

We just took 10 minus 1.

T distribution.

And actually when you look at the impacts, the impacts are substantial.

Tastes awful

Finally the shape of this distribution of sample means will be approximately normal even if the distribution in the population isn't normal.

But you might have to elaborate for me or for somebody who isn't an expert, and say,

Linear middle of the distribution

Standard deviation of the distribution

Degrees of freedom for the t distribution

You learned something really important.

So, Steven Spielberg, eat your heart out.

So there's about 86 billion neurons in our brain.

Other people thought it was funny.

That's called a probability histogram.

So a good measure of central tendency just describes the center point of a distribution.