Now here are some results from running the passive TD algorithm on the 4 by 3 maze.

This shows you life expectancy against gross national income how rich countries are on average.

And at t 1 it is fairly straightforward.

So, intuitively speaking, the formulas are really easy.

It's in the straight middle, because these two variances are the same, so we just average the means.

We know that the average after four exams, at four exams, is equal to 84.

To compute this, recall that b equals the sum of the product of the difference of the x's from the mean and the y's from the mean divided by the square difference between x and the mean

So what percentage of the distribution is below my temperature if it's 100.06?

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

So this just tells you the point minus 20 is 25 less than the mean.

Well, once again, what we'll want to do is assume we get 100 on the next 2 exams and then take the average.

The three main principles are what we just we worked through.

My grade is above the average.

My grades are above average.

And M sub Y. So I'm.

Average

Now what happens when you change the standard deviation.

Or it made them have higher kinetic energy, or higher average kinetic engery, and that's what temperature is a measure of average kinetic energy.

What all the data I've shown you so far says is the same thing.

So I'm going to compute the average of all the blue points, compute the average of all the red points and move my cluster centroids like this, and so, let's do that again.

What is the average value of this quantity?

Suppose all the salaries in my company Udacity are normally distributed.

So the T statistic that we could derive from that is going to be our mean, 17.17 minus the true mean of our population.

I sleep six hours a day on average.

You'll also the mean, which we'll talk about later, is actually the same thing as the average.

Um, but sometimes, you do see, if you rely on the Summary

To see this, recall that a is equal to y bar b x bar, but for a standard score, zₓ always has a mean of 0 and zᵧ has a mean of 0, because we subtracted out their means.

Mean

Average Score

Average bitrate

By average

Average value

Mean Score

Average bitrate

Average bitrate

Average Bitrate

Mean

Plot average

Average bitrate value

Mean of the distribution

less than 17.17 minus the mean, which is less than 2.13.

So what is the mean over here?

And what they do is they average out all of the numbers from all of those analysts.

We're going to write now focus on a particular one which is the average shortest path length to all the other nodes.

It's the quadratic deviation from the mean.