Statistics textbooks, whether they're in Psychology, or Economics, or Sociology, or

This distinction is where most stats courses start off.

So that's what we're going to focus on.

Or even the challenges of nation states in the modern global economy.

And there's another in joke among statisticians, and that's,

So statistics is all about data.

Don't panic don't panic now, I'll help you through this.

That's what I am to you?

The statistical likelihood that our plan will succeed is less than 4.3 .

This time it's about cancer testing.

In this unit, I want to show you a problem that will illustrate how deep statistics can actually be.

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Yet a bar graph can really help you understand the data.

But in most of the rest of the world, that's not the case.

Well, she had a fantastic model for thinking.

In the center of the game show was a puzzle that puzzles statisticians to the present day.

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You're taking a poll?

The central limit theorem, and this is, was developed by a statisticians and is used in applied statistics to do inferentials.

I can't over emphasize how important this is.

And then once we build our toolkit on the descriptive statistics, then we can start to make inferences about that data, start to make conclusions, start to make judgments.

Statistics per se.

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Because after all, if you ask even grownups about statistics, they look extremely stupid.

Probability is just the opposite of statistics, and there's a yin yang relationship between both.

They say ignorance is bliss, but they are wrong all but finitely often.

Again, statisticians really like confidence intervals.

Statistics. As I said, in the first video