00:01
All right, guys.
00:02
So what does degrees of freedom actually mean? now, the simple answer is degrees of freedom really just refers to n minus one.
00:08
I mean, that's the easy one, but let's actually unpack those little bit.
00:11
So degrees of freedom is n minus one, where n is the total size of the sample and n minus one refers to degrees of freedom.
00:18
So let's compact this.
00:19
Why does say degrees of freedom? now, variance refers to deviation from the mean.
00:24
Okay.
00:25
In other words, each data point is some distance from the mean.
00:27
Now, it could be right next to the mean, so it's zero or right on top of the mean.
00:31
That data point.
00:31
It could be the mean, or it could be above the mean, making the difference positive, or below the mean, meaning the different is negative.
00:37
So it could have, there's some distance from the mean, okay? and if we add all those distances together, we would get zero.
00:45
That's just kind of how mean works.
00:46
If we calculate mean and differences from the mean, it would equal zero.
00:50
That's kind of how the math works out...