How do you tell the introverted statistician from the extroverted statistician?

A great statistician differs from an okay statistician by the ability to spend a lot of time just looking at data.

Now, as a good statistician, what do we do?

Here's what statistician do. They choose a random sample.

But as a statistician, looking at the data is really informative.

If you did, you are a very capable statistician at this point.

Just taking a sample on one night is not fair as a statistician.

But if those factors are unincluded, to a statistician that's called random noise.

When they say to you, What do you do? you say, I'm a statistician.

Um, because I'm a statistician. I'm a scientist. I know where the good stuff is and

These are fundamental concepts that every applied statistician has to used pretty much everyday. You'd better listen.

She worked with a statistician named George Kneale, and George was pretty much everything that Alice wasn't.

But whether I can vouch that no statistician ever lied? Of course not. I'm sure some of them do.

The mean of a list with the average of a list this is how a statistician might write it.

As a statistician, we are concerned about this, because if we make trading decisions based on what's happening, we might

Now I can tell you I'm tempted to check mark eat pizza, but that isn't the most important thing a statistician does.

And being able to tell what an outlier is, it's kind of one of those things that a statistician will say, well,

And it all depends on the ideas of this guy, the Reverend Thomas Bayes, who was a statistician and mathematician in the 18th century.

Clearly, one of the things that a statistician does is to use cumulative tools, such as bar graphs, to gain an understanding of the underlying data.

As a statistician, your skill will be to look at these data points more deeply and possibly remove them based on what you see in this scatterplot over here.

So if you're taking statistics from sort of a math guy, and I'm, I'm a psychologist first, then sort of a statistician, I wasn't trained in statistics per se, if you were taking this from a math perspective.

If there's one thing you want to take home from this class that is that as you get more data as a statistician, your confidence increases so your confidence interval shrinks, whereas of course more data doesn't change the standard deviation.

So the purpose of this unit was to empower you to instruct the computer to plot data, and the reason why I told you this is because the very first step every statistician does is to look at the data if you're given data.

This is a one in a decade abnormal behavior and as a statistician, we might care about writing software that finds these kind of behaviors, so we stop trading and we don't fall into the trap of selling our stock at a unfortunate rate just because something really, really strange is happening.

Let's call this chance P, the same as the coin flip, and of course if P larger than 0.5 in a 2 run off that person will not initially win in most cases, not always, but as a statistician we can't assess the two chances, so what we do is to form a sample.