00:01
We're modeling the number of customers per hour at a grocery store, check out.
00:04
We're told the average number is seven customers traveler and were asked to calculate a few probabilities.
00:12
First, the probability that there are no more than three customers in an hour probability that there are at least two and the probability that there are exactly five.
00:23
So for this problem, the concept that will need to views is theis equation for a person distribution and how that allows us to calculate specific probabilities and the idea that ah, the mean for a person distribution is equal to a parameter called lambda.
00:46
And so, for our hassan distribution, we have ah, when a probability oven event x equals lower case x, we can determine that from.
01:00
So this is a specific instance, like x.
01:04
So capital x being the number of customers per hour and small x being, let's say a number three.
01:11
Then that probability can be described by the equation e to the minus lambda times, lambda to the x over x factorial.
01:23
And so we're given our mean here and, um, you so i mean mu is equal to lambda for our plus on distribution, and we're told that that is seven.
01:39
Now we can calculate our specific probabilities.
01:44
So part a.
01:46
Waas.
01:48
We want this x to be less than no more than three.
01:52
So this x is less than or equal to three.
01:56
So probability of x being less than or equal to three.
02:02
It's gonna be equal to soldiers.
02:04
So it's the probability that x is one that x zero or one or two or three so that some of those probabilities the probability of x equals zero plus probability.
02:19
Mexico one.
02:22
It was probably x equal to plus probability.
02:26
X equals three and we can write that so we can write out.
02:33
We'll have four terms for this probability, and we can factor out the e to the minus seven from each of them.
02:42
And so then we'll have four terms inside our effect inside our princess...