00:01
Let's start with what we know.
00:03
In this particular problem, we have 10 people applying for a job.
00:08
So we have 10 applicants.
00:16
Of those 10, five have college degrees.
00:30
And five don't.
00:45
And we are going to look at three applicants at random.
00:54
And we're going to focus on getting college graduates.
00:59
So let's look at what our probability distribution would look like.
01:15
So when we look at these applicants and we select, we might end up with zero college grads.
01:23
We might end up with one or two or three.
01:28
Now that's the entire probability distribution.
01:31
So the sum of our p of x column should equal one.
01:43
Now what are we trying to find? when we actually hire, if the manager selects these three applicants, we want the probability that all three were graduates.
01:55
So we are solely focused on this value right here.
02:00
So our x value is three.
02:05
Now, once we select a person to be the person that gets the job, we're not going to put them back into the pool of people.
02:14
So therefore, our sampling is done without replacement...