0:00
Hello.
00:02
So for binary distribution the probability function is given by so if x with the probability of x or we finding the probability of x equals a certain variable k for example.
00:16
Now there's going to be an combination k uh k times probability to the k times uh one minus p to the n minus k.
00:38
So, then if the probability of x equals n, now we're going to have is n combination n times p to the n times 1 minus p to the n minus n.
01:10
And that has been given in that question as 0 .00032.
01:21
So what is this? this is one, right? this is also 1 for 2 combination 2 any number of combination itself is 1 okay so we have here is p to the n is just going to be equal to 0 0 0 0 0 3 2 now let's look at the probability that x equals n minus 1 same concept we're going to have n combination minus 1 times p to n minus 1 times 1 minus p maybe 2 so good for here so we're going to do n minus let's see what this is so and combination n minus 1 is for example if you do 8 combination 7 what you get you get 8 right if you do for example 4 combination 3 you get 4 so that this right here is n times n p to the n minus 1.
02:51
Let's see something that's going to happen here.
02:55
So this is times negative 1.
02:59
So, no, if i'm positive.
03:01
So that's just going to be minus p.
03:10
Okay.
03:16
So this information, let's just a second.
03:24
So what was this equal to? so in that question, this was equal to, 0 .001 to 8n.
03:33
This is 0 .001 2 .8 n.
03:47
You can see that this n here can cancel this n...