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.

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

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.

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

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

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.

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

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.

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

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

It will end in my being conveyed into the house.

Quarter note. Half note.

The hardest part is to get the outlier removal correct.

The answer is 83.

As a statistician, your skill will be to look at these data points more deeply and possibly remove them based on what you see in this scatterplot over here.

Four...

each of the bank notes might look something like this

1000분의 1 아니면 10의 마이너스 3승을 의미하죠. 이제 질문에 대답하자면 654.213에서 3의 자릿수는 무엇인가요? 자릿수는 1000분의 1입니다. 그거면 실질적으로 문제에 대한 답은 나왔죠. 하지만 우리가 이것이 뜻하는 바가 무엇인지 정확히 이해하는지 알기 위해서, 이 숫자를 다시 써 볼 겁니다. 우린 이 숫자를 600으로 다시 쓸 수 있어요.

OK, let me do a dark color.

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

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.

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.

We don't want to just subtract, because we still have the problem with the 1s place.

The other very typical way is the median. And I will write median. I'm running out of colors.

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

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

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?

Next, check from phase to ground and record these values also

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

Select the position for the new numeric value...

They are doing that on a quarter of the resources that are used typically in the

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

Now compare the Phase to Ground values against the Phase to Phase values

Next, check from Phase to Ground and record these values also

What this does is this takes the column wise maximum.

I have 1,000 now that I can distribute into these 3 buckets.

The plays of Shakespeare fall into four periods.

Be there in four minutes.

First of all, there's the quarter note...

The third quarter.

What is 5814 rounded to the nearest thousand?