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That's our variance right over there.

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So let's just think about what direct inverse or joint variation even means.

Inverse variation. You have y being equal to some constant times one over x.

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Now what is going to be the variance?

This right here is going to be the variance.

Look at that contrast.

The uneven picture is also evident in other areas.

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Discrepancies should be followed up.

You see the contrast between the rich and poor.

Well, you measure that with the variance.

Now finally they talk about something called joint variation, and this one you won't necessarily see in introductory algebra course.

But this isn't the variance yet.

The variance is this thing

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This fact is applied in the study of the multivariate normal distribution.

And how by using categories, you can reduce the variation that we see out there in the world.

The contrast with matters of peace and security is stark.

Its opinion on abortion is nevertheless quite controversial.

Some of them show greater variability.

So the main tell tale sign here for joint variation frankly is you're gonna be dealing with more than two variables. Joint, Joint, Joint variation.

So the variance of this population is 6.25.

An analysis of the average income of rural workers clearly shows the great inequality that exists between white and black women, and particularly the persistence of this inequality.

Kids do worse in the more unequal societies.