It gets us an important distinction.

And that is an important distinction.

But, however and here is the important distinction

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

And there's a very important distinction there that we'll get to.

It's actually important to realize the distinction between an expression and an equation.

But it's really important to, to make this distinction between independent and dependent variables.

And by the way, the distinction between relieving misery and building happiness is extremely important.

The distinction is clear.

The distinction is clear.

It's a Boolean logical distinction rather than on this side a probabilistic distinction.

This is an unfair distinction!

It really goes beyond distinction.

Here is the key distinction.

It's important to understand this distinction because those two types of researchers use statistics in very different ways.

Von Mises completely rejected this distinction.

Now, there is a dubious distinction.

There is no distinction in that.

So the important concepts to take away from observational studies is a make less distinction between a study and an experiment.

This leads to an important distinction in computer science between what's possible versus what's possible in a reasonable amount of time.

which is a small but critical distinction.

Being in the dictionary is an artificial distinction.

So, we have, just to make the distinction.

She likes to preserve the distinction of rank.

Embry, do you remember him making that distinction?

I can make a distinction between good and bad.

one will be told, To the Day of Distinction .

That means I'm making a distinction between an observational.

This distinction is where most stats courses start off.

How to have a distinction between production and development.

And so this is not a fundamental distinction like.

Thanks for making that distinction. Is there anything else?

There's no distinction between the harmful and the beneficial.

The mother makes no distinction between Jews and nonJews.

Now, I know it's a bit pompous, my response, but it's an important distinction, because I don't believe that what we need is sensitivity training.

You see, the distinction between reality and illusion is the distinction between how things consciously seem to us and how they really are.

The distinction in usage between the two words is clear.

In fact, the distinction is really blurring all the time.

And again let's keep the distinction between mediation and moderation.

But there's nevertheless a clear distinction between food and poison.

In nature, there's no distinction of harmful and beneficial insects.

We'll start with descriptives in, in the next lecture, but again I think it's more important to start with a distinction about how statistics are used.

It's important. Parabolas are important.

Not more important, but important.

Important