These two elements over here are called the lower quartile and guess what the upper quartile.

If you remember this method, you realize there were four quartiles, and individual elements separate those.

He wins second place.

When I ask you the obvious question now give me the lower quartile, the median and the upper quartile in these three boxes over here.

Let me do this here, there's two of age 19, 3 times the age 22, two aged 23, 24 and 25 and now we can call this at exactly 11.

And this will be a 15 from reads 19, 23.

Okay, so you throw away the extremes, you arranged all points as before minus 99, 13, 17, 33, 1489, we find that these are the lower quartile and upper quartile, this happens to be the median these are the numbers that are average 13, 17 and 33.

So we call this the first quartile, the second quartile, the third quartile and the fourth quartile.

Who comes in fourth this week?

The No. 1 prince of the week is...

The undefeated number one ranked heavy weight challenger

And all the test cases we'll be using will have the property that the lower and upper quartile are well defined elements.

The hardest part is to get the outlier removal correct.

We have 163 samples.

What I want you to do is to now code a piece of software called calculate_weight that has 3 things, and I think you can do all three of them yourself.

Let me ask you a question.

The answer is 83.

I'll go with 21. gt gt 21!

It turns out the number of data points make it well defined what the lower and upper quartile is.

Now, 163 3 special elements makes 160, divided by 4, makes each of these 40.

Steven's actual data against the background of all other patients, against this information.

This one's called the median, the lower, and the upper quartile, and these guys are the ones being picked.

It turns out even if it doesn't factor nicely, those give me good numbers.

It will end in my being conveyed into the house.

Everything that's in the ones place is below or above everything else in the ones place.

(Laughter)

Quarter note. Half note.

What's interesting from now is I applied the quartile removal method.

Number of fixed decimal digits

Number of fixed decimal digits.

Four...

each of the bank notes might look something like this

And I'm not asking whether there is in principle a variant of the method that can be used, but the way you've learned the method can we just go through both lists and independently in both lists remove the lower and the upper quartile?

So this is one, one, so this is just the element wide comparison of all four element variable lower case three and it returns true or false depending on whether or not it's less than three.

It's my personal ranking.

Normal transformation, anisotropic filtering, skinning, lambertian, angle axis, vertex shader. Quaternion, texture map, diffuse, model view matrix, transpose of inverse, bones.

You're welcome

In Kalman filters the distribution is given by what's called a Gaussian.

We're actually splitting all the data into four groups this we'll call the first quartile, so I'll call it Q1 for the first quartile, maybe I'll do 1Q.

Four...? Make it quick. This cell is running out of juice.

And you can say, Well how do you know they're happy?

What I mean by that is, imagine that these two guys are position vectors that are specifying points on a parallelogram, and then of course the or not of course but, the origin is also another point in the parallelogram, so what will be the last point on the parallelogram?

Let's start with a square that has area of one meter.

And you get six zero zero.

left is a 4 by 2 matrix number of rows by number of columns.