Again, what do you think could help us get the right answer this time?

In this case, the problem really comes down to the naive Bayes assumption is a weak one, and the Markov assumption would do much better.

Setup Virtual Machine

Hypothetically.

Because I think that's the important thing.

So this is all just running descriptives to figure out if you truly have normal distributions.

Let's say at minus 20 the height is very low.

So we would get a very small p value, a probability value.

And the way this works, is, in null hypothesis significance testing, which is a mouthful so I'll just say NHST, we assume, the null hypothesis.

It shows up in nature all of the time and if you do take data points from something that is very complex and it is the sum of arguably, many almost infinite individual independent trials, it's a pretty good assumption to assume the normal distribution.

Because it is a little bit of a game.

Interaction design is at a pretty interesting inflection point right now.

You can configure how many virtual desktops there are.

John's hypothetical man

I have no need of that hypothesis.

Don't torture yourself with hypotheticals.

One way to do this is to set an oscillating measurement between 2 and 0.

This representation is absolutely core to probability and to mobile robot localization.

This is what I assume about annual maintenance.

Olivia, this isn't like before.

And for the sake of simplicity in the next video

That gives you first approximation to the density distribution in space.

And then what's the derivative of y squared with respect to x?

Check here if you think it's guaranteed to do that.

Let us suppose that the news is true.

Check that box if you think that would be helpful.

Warning Assuming normal speed.

That was just a kind of a what if conversation.

Assuming, of course, they text each other.

Because we'll see later in this video that to some degree, that assumption is one of the biggest drivers of assumption.

You have a sales force and you're selling directly to the end consumer.

These simplifying assumptions will allow us to do an analysis that is more tractable.

We finish this step for a search.

Suddenly, it's not so hypothetical, is it?

If you were dying of thirst. What he would or wouldn't do doesn't interest me.

We solved this problem of extracting the first URL from the page we assumed the page was initialized to the contents of some web page.

You can tweak that discount rate and make a few assumptions in discount rate and pretty much assume anything.

But maybe y is equal to e to some constant r, times x.

So what I did in yellow, both this bright yellow and this

Okay, what assumptions did you make?

Seems the logical assumption.

This is our original y.

It could actually be 90 as advertised and you were just unlucky, but we believe that high probability of this is correct or is the data actually contradicting this claim and you should complain that the claim is incorrect.

I, I pick someone at random, what's the probability that their temperature is greater than 103?

Let's add another 75 to the 300 in 2003, and we'll get 375.