T statistic from this.

T statistic that we could derive from this, and you can view this T statistic as being a random sample from a

That statistic is so sad.

The second largest is order statistic n 1, and the max is order statistic n.

Statistic one, lecture six, another example.

Now that statistic is quite shocking.

A statistic for a medical report?

The statistic over here down there.

This right here is the T statistic.

I don't remember the statistic now. Sorry.

The correlation coefficient is a sample statistic.

And that's true of any sample statistic.

This is actually a very stunning statistic.

The same statistic was run for female students.

Very similar statistic for childhood cancer in the U.S.

And so that I wouldn't continue being a statistic,

The median is order statistic like n 2 floor.

And we can calculate standard error for any statistic.

Remember, every sample statistic is just a point estimate.

We plug in the statistic over here up here.

You see, because, I mean I give you one statistic.

Another statistic, perhaps my favorite, is to look at childhood deaths.

It's also important to know the distinction between parameter and statistic.

The second smallest element in the list is order statistic 2.

This is a U.S. statistic about the impact of greenhouse gases.

So by taking this sample you can say that we've randomly sampled a T statistic from this 9 degree of freedom

So the T statistic that we can derive from this information right over here so let me write it over here the

But for now. What you'll see is we can calculate a T statistic.

We're all focusing on this is a statistic from earlier this month in the Financial Times we're all focusing on the luxury economy.

If I pick a random T value, if I take a random T statistic

And statistic is a number or measure that describes some characteristic of a sample.

Now, here is a staggering statistic that some of you may have heard before.

And our statistic would have found it and might have saved you some money.

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.

left hand corner plots the corresponding statistic from United States and Europe in the twentieth century, and includes all the deaths of both World Wars.

The death of one man is a tragedy, the death of millions is a statistic.

We had a random T statistic, and all we did is a bunch of math.

This is pretty stunning, but I don't think it's the most telling statistic of all.

The next type of summary statistic we're going to look at are measures of variability.

I forgot the statistic, but there's something like 80 of people in Asia have genes from either one man or some small collection of men who date actually, I think it's from one man from the 1200s.

That's mapped against the red dot, unemployment, which is a simple Bureau of Labor Department statistic.

Why as a society that is so technologically advanced should this statistic be acceptable to us.

The last R over here has no outbound transition, so it doesn't really count in our statistic.

This notion is generalizing min and max, so the min can be expressed as order statistic 1.

Turns out there's another statistic though, that is actually more informative, and it's called on base percentage.