00:01
We're starting with a variable x.
00:03
X can take the values 0, 1, 2, or 3, and we're given the probabilities.
00:09
But we want the expected value of g of x, where g of x is x minus 2 and then squared.
00:16
So since we have this discrete distribution, let's see what g of x is for each value of x.
00:22
So for 0, 0 minus 2, so minus 2, squared, is 4.
00:26
1, we get minus 1 squared, is 1.
00:28
2, we get 0.
00:30
3, we get 1 as well.
00:32
So if i look at the probability distribution for g of x, there are only three values g of x can take, 0, 1, and 4, with probabilities, so for 2, that's a probability of 1 over 6.
00:49
1, okay, either of these, that adds up to 2 over 3.
00:52
This one is 1 over 6.
00:54
Now i can get rid of this because we have our new distribution.
00:58
We want to find its mean and variance...