00:01
Once again, welcome to a new problem.
00:03
This time we're dealing with probability.
00:07
We're dealing with probability.
00:11
And if you think about probability, this is the quantification.
00:16
So probability is the quantification of chance processes.
00:27
So you're quantifying chance processes with probability.
00:31
And when you think about probability distribution, probability distribution involving a random variable, then the mean of this probability distribution is sum of x, px.
01:03
That's the mean of the probability distribution.
01:15
And if you think about the standard deviation, if you think about the standard deviation, standard deviation of a discrete random variable, then what's going to happen is you're going to have square root.
01:56
So this is the square root of x minus mu over sigma p of x.
02:15
So that's the standard deviation of a discrete random variable under probability.
02:21
So we're looking at a new problem and we're given a probability model.
02:26
On one side, there's the number of cars.
02:30
So this is your x and these are random discrete values.
02:40
And then you're also given p of x, which is the probability for each discrete value.
02:47
And this is the number of cars owned by random households...