If you add them up, they are actually 0. So we have to add up something else.

So 1.2 10 to the fifth is 100,000.

I want my watch, a fuel pump and my dollar in change.

(Laughter)

I had 3, I had thirds.

And we are shaping our life, little by little.

So in this case, it would be 1 plus 1 plus 2 plus 3 plus 4.

So you've got negative 1 plus 14 is equal to 13.

They interact like cogwheels in a clock.

So in scalers again the example I used in the last segment is multiplying two times one over two.

10,000 to 15,000 in each target zone.

It'd be 2 times 0, which is 0.

1, 2, 3, 4, 5.

So 1.2 times 100,000 is going to be a 120,000.

It exploded.

So I could have the matrix 1.

That still only counts as one!

There's only six billion understandings of it.

So point B, x is positive.

The concentration of this solution is 1 mole per liter.

8 times 8 is 64, 8 times 1 is 8, plus 6 is 14, and then we have that zero there 'cause we're not in the ten's place, 1 times 8 is 8, 1 times 1 is 1, and really this is a 10 times a 10, that's why gives us 100.

And in this position of course, you cross out this row, this column, and 0 times 1 minus 1 times 2.

And the reason why this makes sense is 1 is 4 4, or 1 is 4 times 1 fourths, right?

And of course, in the cost we actually had this minus y but we just said that you know, if y is equal to 1.

let's do the exact calculation

Same thing true for negative 7 and 1 2, the absolute value, it's exactly 7 and 1 2 away.

If you end up having a different feature that winds being between 2 and 0.5, again, this is close enough to minus one and plus one that, you know, that's fine, and that's fine.

You got some kind of service?

9 plus 8 is 17.

This would be something like here on our graph.

I could also write this as one plus itself two times.

A square meter is a two dimensional measurement, that's 1 meter on each side.

So I want to talk today about an idea. It's a big idea.

Our original equation was up here.

To get the likelihood of a set of numbers, we just need to multiply in the probability of seeing every single data point.

There's n possibilities there.

If x was let's say, negative 1, then y would be 2 times negative 1, which is negative 2.

You can kind of view this as the liabilities of which debt is one of them.

Why is it that all the concentration is on stranger danger, and church abuse?

For example, even 5, if you say 5 hours, that's still a fraction.

Sign of zero is zero, two times zero is zero, so this whole thing is zero. 1 minus 0 is 1. Fair enough.

That's just like variance except it's the sum of cross products over N. And correlation is just standardized co variance.

I want to compare that to 2.

So you could invest it 5 risk free.

I erased the numbers so I will redo it.