We're in lecture eight, segment three. In the last segment I covered just a basic overview or tutorial of matrix algebra.

Knowing how to interpret those coefficients and we'll go through examples of this again not in the next segment but in the last segment and in the next

I've organized this lecture into two segments.

And a typical KDF to use is HKDF, which is actually getting quite a bit of traction out there. Okay.

We'll, we'll talk about those problems and we'll talk about some remedies or some alternatives to NHST.

And this lecture is organized into two segments.

Not the last time. The very last time.

We're in Lecture five, the second segment and the last segment of Lecture five and the last segment before we're ready to jump in to inferential statistics.

Pricing is kind of the tactics.

But again, we won't do them by hand.

Uh, but for now, we'll just keep them as predictor and outcome. I'll use M for the mediator.

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Welcome back.

Welcome back. We're in lecture eight.

The love these two share... No, the very end.

You know, we mutate during four billion years before, but now, because it's me, we stop. Fin. (Laughter)

And today's lecture is just two segments.

But first lets just start with basic multiple regression analysis.

Hi, welcome back. We're on Lecture four, segment three, the final segment of Lecture four.

This lecture is organized into three segments.

What do you mean. 'One last time'?

And in the second segment, I'll show you what's called path modelling or the path analysis approach.

He cried off at the last moment.

There's also one more thing we can do here.

My first, my only.

Last call!

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One, two, three, shook

Our last group.

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Your last chance?

Never give up till the very end.