We're trying to watch.

Now what happens when you change the standard deviation.

And what is the squared distance from 0 to our mean?

What is the variance of this distribution?

let me be very careful.

Now what's the distance now we've got a 1 and what's the difference between 1 and the mean?

Bayliss keep meter records for gypsy drivers?

You could have said

(Music) 6 Mile Range

Five hour commute to work.

So that is the probability part.

So what happens with this is they're saying, Right, you have a data dashboard.

The business model in which the money that is actually coming in, to drive the car the minutes, the miles if you want, that you are all familiar with subsidize the price of the car, just like cellphones.

Assuming that they are isotropic so there is just, the radial motion is represented to other two outer components.

We need to put this better market feedback.

These are supposed to simulate the actual form of a sprinter when they run.

In fact, every element over here is 5 times as large as any element over here. Now, how does this affect the variance?

Let's say we're here. x minus mu is the mean so that's here so that's this distance, and this is the standard deviation which is this distance.

So it's kind of, not exactly, but kind of the average distance from the mean.

Averaging 30 miles an hour the whole way.

So if her whole route takes her a hours, this whole length in time is a hours.

Now on this next day, she's 50 minutes late.

let's use racecars for math.

100 metres. and so using this information we can actually figure out his average speed his average speed right this way his average speed is just going to be change in distance over his change in time and using the variable over here we are saying y is distance and this is change in y over change in x from this point to that point and this might look somewhat familiar to you from basic algebra.This is the slope between two points.

That's all we could do.

Getting Bellows and those witnesses down there, you mind what you're doing, now.

Let's ask you a different question suppose we're on the fields and we learn how to throw ball.

I just add Gaussian noise with the corresponding steering noise and distance noise parameters.

So, ultimately what's going to determine the success or failure of SETI is the longevity of technologies, and the mean distance between technologies in the cosmos distance over space and distance over time.

So it would be the distance around.

We're all familiar with the mechanical process of an odometer, which takes a long time to finally repeat its cycle.

And then it has a diagonal measurement of square root of 74 feet.

Then I did the distance between each of those points and the mean.

The second thing remarkable about the Tarahumara is deep into old age 70 to 80 years old these guys aren't running marathons they're running mega marathons.

Distance

Distance exponent

At a distance of

Distance

(Applause)

And I imagined him to be tall, dark skinned.

And we learned that the focus, the focal distance or the distance from the central of the ellipse, which is this distance right here that focal distance is just the square root of the difference of these two numbers.

He is not going to just go the speed immediately.

Average

These two focal lengths are symmetric.

Scurrying across the field in the middle of the day?