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

And what we find if we plot up the well known species is this sort of a distribution.

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

So first let's revisit this normal distribution.

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

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

If it hits something you people see that?

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

Told her I was taller when I stood on my wallet.

Take her away!

Let me ask the hard question now.

Dispersion of the normal distribution

And similarly I'm going to assume that X2 is distributed, Gaussian, that's what this little tilda stands for, that means distributed Gaussian with mean mu2 and Sigma squared 2, so it's distributed according to a different Gaussian, which has a different set of parameters, mu2 sigma square 2.

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

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

Mean of the distribution

Your purse?

Coelho has worked with various government agencies for 20 years

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

In the next video, I'll talk a bit about the Gaussian distribution and review properties of the Gaussian probability distribution, and in videos after that, we will apply it to develop an anomaly detection algorithm.

Come along.

See? They'll just follow that curve.

The distribution shows.

So, this script's end stands for normal, since Gaussian and normal distribution, they mean the same phase of synonymous and a

Do you also mean that is to complete our life?

This tells you the height of the normal distribution function.

0 density, 1 distribution

What I want to do in this video is to generalize it.

I walked along the river.

Flip on Short Edge

So a T distribution looks very similar to a normal distribution but it has fatter tails.

Such a representation of probability over spaces is called a histogram in that it divides the continuous space into a finite many grid cells and approximates the posterior distribution by a histogram over the original distribution.

People talked about it twice less as it should have been.

Are they interconnected?

luminous matter changes is a function of mass.

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

The boat sailed around the promontory.

But if you're not sure or if it's been a while since you've worked with a Gaussian distribution or the normal distribution then please do watch this video all the way to the end.

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

50 of the distribution falls below the mean, 50 falls above. It's perfectly symmetrical.

Linear middle of the distribution

Standard deviation of the distribution

Degrees of freedom for the t distribution

You learned something really important.

We then used that former to manufacture a perfectly bespoke porous textile mesh, which takes the shape of the former and perfectly fits the aorta.