00:01
What are the characteristics of a chi -squared distribution? so first of all, what is a chi -squared distribution? it is the sum of k standard normal variables squared.
00:17
So standard normal variables, and then you square them.
00:25
So you know the standard normal variable from the normal distribution.
00:28
You have that, you square whatever you get from it, and that would be a chi -squared with one degree of freedom.
00:34
K is degrees of freedom.
00:37
If you had two standard normal distributions, you pick an observation from each, you square them both, add them up, then you have chi -squares with two degrees of freedom.
00:49
So it's just a sum of the squares of normal distributions.
00:55
Now what does it look like? well here's our first point.
00:59
It is right skewed, or positively skewed...
