Grid resolution

Dispersion samples

Samples. Samples.

That's, that's one of the goals of this segment, is to understand what I mean when I say ,sample distribution.

It's one standard deviation in the distribution of sample means. So this distribution of sample means, again.

But this is really just the beginning.

That's largely influenced by the sample size.

That's called a probability histogram.

I don't know you!

Sample

And because we have a camera that can run so fast our femto camera it has some unique abilities.

Remember, every sample statistic is just a point estimate.

It's certainly a very important medium for input, and a lot of people think that fingers are a very low resolution sort of stylus for inputting to a display.

We're not going to do that this time, because you might see something interesting here.

Again, there's variance in the population, sigma squared.

John, if we're going to decipher this code, we need to look for more evidence.

Sample Width

We should leave.

And just like that, we've grouped them and we're able to factor each of those groups, and then something interesting might pop out at you.

The cake lady sent them over... for the wedding.

Okay, ... Sample.

There are really 2 reasons why our utility estimates could be off.

Disassembled.

Come on.

When we do. When I do my research.

lecture two, I'll just start to use examples.

Plasma Playlist Applet

Example Python Applet

So my thinking here is that we try to motivate those kids to start driving home ideas.

Doc told me last week he took a blood sample out of you, deputy.

look at everybody in the distribution.

At least five anonymous blood samples from volunteer donors.

An example of a bar chart

It's involved in learning and memory.

Their ratio tells us the water temperature.

47,905 blood samples.

They didn't get enough samples to really explore the genetics in enough detail.

Here, I said samples equal to 30 or greater, some people would be a little more liberal then that and say if you have samples of even twenty or greater you'll get a normal distribution.

Then, we got the nice normal, we've got a little positive skew, and a little negative skew.

From the mean to one standard deviation above, and one standard deviation below.

I know that's a mouthful. So, you might wanna replay that.

This technology is intra active.

If I took small samples of ten, then the distribution of sample means, would be Y. There could be lot of fluctuation, so it'd have a wide distribution of sample means.

The doctor analyzed the blood sample for anemia.

So, to review this segment on Histograms, the important concepts to take away are just one, what do I mean when I say a distribution?