In this case, we run it twice. We print the output.

So first let's revisit this normal distribution.

Let me ask the hard question now.

If I were to measure where the peak of the new Gaussian is, this would be a very narrow and skinny Gaussian.

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

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

No one knows exactly.

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

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

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

Dispersion of the normal distribution

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

Mean of the distribution

Your purse?

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

the specifics elude me completely.

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

T distribution right over here.

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

This tells you the height of the normal distribution function.

Look at the new locations. Texas,

0 density, 1 distribution

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

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

I called that here dist.

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

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

But if anyone has information about this shameful act,

Now what is going to be the variance?

Ʃp(xi)log p(xi) as the expected log (logarithmic) likelihood of the probability of each grid cell.

Cell division

Here are our equations again.

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

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?

Linear middle of the distribution

Standard deviation of the distribution

Degrees of freedom for the t distribution

You learned something really important.

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

Are they interconnected?

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

leaving just the cartilage.

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

celermitosis.

We're now going to look into this first from the mathematical side.