00:01
In this exercise, we have three identical computers.
00:06
In each hour, the probability of one of them failing is .0005.
00:13
And for part a, we were asked, what is the average time for all three computers to fail? so let's define a random variable x, which is the number of hours, for the three computers to fail.
00:37
Here, x is a negative binomial random variable.
00:51
So we have our probability of success is .005.
00:55
050.
00:57
The number of successes we're looking for is 3.
01:01
And we want to know how many one -hour trials are necessary so that all three computers have failed.
01:11
Now the mean of a negative binomial is given by r over p.
01:19
So that is 3 over 0 .005.
01:26
And that is 6 ,000 hours.
01:29
So on average, it will take 6 ,000 hours before all three engines have failed, or all three computers have failed.
01:40
And for b, we're asked for the probability that all three computers have failed in a five -hour flight.
01:46
So that is what is the probability that x is at most five hours? now we can solve this using software, which makes it a lot easier.
01:58
Let's use excel for this.
02:01
So in excel, if we start the computation with equals, then we start to enter negative binomial...