00:01
So in this question we have two options.
00:05
So option one, we have that the probability of a supplier going down due to a unique event is 4 .5%.
00:19
And the probability of both suppliers going down due to a super event is 1 .3%.
00:31
Option two, the probability of a unique event happening to each of the suppliers is 14%.
00:39
But the probability of a super event happening to both suppliers at the same time is 0 .27%.
00:49
So first of all, what's the probability that both suppliers will be disrupted using option 1? so probability both disrupted in option 1 is going to be the probability that a unique event happens to both.
01:01
So the probability of a unique event in option 1 squared plus the probability that a super event happens.
01:13
So plus the probability of a super event happening.
01:16
But then we have to take away the probability that a unique event happens to both and the super event happens because that's counted twice.
01:24
Because this counts over the super event happening or not happening.
01:30
This counts over the unique events happening or not happening.
01:35
So this is super in one.
01:40
But then we have to take away the probability of unique in one.
01:46
In 1 squared times the probability that a super event happens in 1.
01:54
This assumes that they're all independent, so they do need to be independent for this analysis to work.
02:01
So what is this? so this is going to be 0 .045 squared plus 0 .013, minus 0 .45 squared times 0 .013, which is 1 .50%...