So first let's revisit this normal distribution.

Give away your riches, and you become wealth.

less than six feet six inches in height, with the chest and limbs of a Hercules.

How to distribute abundance is a great problem.

Let me ask the hard question now.

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

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

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

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

There goes Shanghai.

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.

I called that here dist.

This tells you the height of the normal distribution function.

You learned something really important.

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

Pollen. Clear as a map reference. South of the river.

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

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

Dispersion of the normal distribution

And that's because this value tells the probability that you're less.

less than six feet six inches in height, with the chest and limbs of a Hercules.

Mean of the distribution

Your purse?

We distributed these rapid transport corridors throughout the city center, and extended them into the outskirts.

If it's perfectly normal and we've standardized the units, then we know what percentage of scores fall in certain regions of the distribution.

You got a wallet or some kind of I.D. on you?

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

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

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

T distribution right over here.

We just took 10 minus 1.

When you actually use the Excel normal distribution function,

This is a real asset.

I'm going to ask you now for the initial distribution that I'm writing up here, can you give me the distribution after the motion?

0 density, 1 distribution

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

You have quite reserved, I don't know...

Life expectancy from 25 years to 75 years.

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

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.

I can tell you my hand isn't really able to draw 60,000 points.

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

May I have a pillow and a blanket, please?

Please give me a pillow and a blanket.

And, again we don't know most, most of the time if the distribution in the population is normal.