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

Heating Coil

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.

Water will boil if heated enough.

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

Another important factor that I didn't take into account initially was the time cooked.

And your new sigma square is your old sigma square plus a variance of the motion Gaussian.

But it was kind of an interesting thought.

My personal favorite... raw cacao, chaga mushroom,

You wouldn't apply heat to a volumetric flask.

Folks, technology for roasting coffee It's pretty simple.

But the interesting thing is, what was going on here?

So first let's revisit this normal distribution.

The reactor's overheating.

The reporters called me up and they

Let me ask the hard question now.

Dispersion of the normal distribution

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

Mean of the distribution

Your purse?

Induction can heat, especially steel it's very good at that.

Carl, the reactor's overheating.

And the heat.

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

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

This tells you the height of the normal distribution function.

0 density, 1 distribution

Now, roasting coffee is a lot like making popcorn.

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

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

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

Our class robot has built in noise variables. One is for forward motion.

And then once we've added this much heat, now we're just heating up the steam.

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

Linear middle of the distribution

Standard deviation of the distribution

Degrees of freedom for the t distribution

You learned something really important.

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

Say, Aye. Audience

That's why I thought, as long as I don't blow my eyes out...

Mean value of the normal distribution

Middle value in the normal distribution

Let me make it very clear.

Then that corresponds to a