00:01
A poisson distribution is used to measure the probability of a certain frequency of an event occurring in a given time period, given a mean number of, or given a mean frequency during the time period.
00:15
And so we're using this distribution for calls to a fire station that has a mean frequency of 8 .5 calls per hour.
00:27
So we calculate the poisson probabilities using the cumulative density function of the probability of x is lessen or equal to a certain value, is equal to the sum from zero to x of the following function.
00:51
So first we're going to do the probability of x equaling nine, or the fire station getting nine.
00:57
Calls in the hour.
00:59
So here we only have to evaluate the function at the actual value of x equals 9.
01:05
And so this is going to be equal to e to the negative 8 .5 times 8 .5 to the 9 divided by 9 factorial.
01:21
So i'm going to put this on my calculator really quick, and i will update with results.
01:30
And you get a probability of 0 .1 to 99.
01:57
Next we wanted to see inclusive, what the probability is that the fire station gets between 5 and 7 calls.
02:06
And so now we want to take the sum from 5 to 7 of this formula, e to the negative lambda, lambda to the i, divided by i factorial.
02:21
So this is equal to e to the negative 8 .5 times 8 .5 to the 5th divided by 5 factorial, plus e to the negative 8 .5, 8 .5 to the 6 divided by 6 factorial, plus e to the negative 8 .5, 8 .5, to the 7 divided by 7 factorial.
02:51
All right, so just give me a minute to put this in my calculator.
03:11
So we get individual probabilities of 0 .07523 plus 0 .1068 plus point 1 -2942.
03:58
And so if we add these all together, we get a probability that the number of calls is between 5 and 7 .7.
04:11
Inclusive of 0 .3112.
04:18
The next is asking, what is the probability that the station gets at least four calls? so that includes four.
04:27
This is equal to 1 minus the probability that x is less than 4.
04:36
Because theoretically the station could get 100 calls, that's very unlikely.
04:41
This keeps going infinitely.
04:45
It's more practical to rewrite it in this form so that we can explicitly calculate the probability that x equals 0 plus the probability that x equals 1 plus the probability that x equals 2 plus the probability that x equals 3.
05:07
And so for the probability that x equals 0, it's just going to be e to the negative 8...