00:01
Let x be a poisson distributed random variable such that p of x is equal to 0 and this value is basically equals to 0 .5.
00:13
So find the mean of x.
00:15
This is required.
00:16
So in poisson distribution mean that is mu is equal to the parameter lambda.
00:25
So which represents the average number of events or occurrences in a given interval.
00:33
So here mu when you talk about it is equals to parameter lambda itself.
00:39
So now what is given to us from here we are going to calculate the value of mean here.
00:52
So a mean of x we need to find out.
00:54
So this is given to us p of x is equals to 0 and this value is basically equals to 0 .5.
01:00
So this is the probability right at x is equals to 0.
01:04
So now probability mass function that is pamf of poisson distribution representation is done by which expression by this expression.
01:13
What is the expression? p is equal to p of x is equals to k is equals to e to the power minus lambda multiplied by lambda to the power k.
01:31
So this is basically the formula upon factorial k right.
01:35
So this is the formula right.
01:37
So from here you can conclude that from equation 1 putting the value values of equation 1 in equation 1 in above equation above equation right we have what we have p of x is equals to 0 here right.
02:13
So that is equals to 0 .5 itself which is also equals to e to the power minus lambda right and lambda to the power 0 because the value of k is 0 here right 0 this value is 0.
02:31
Now factorial k that is factorial 0.
02:35
So factorial 0 is nothing but that is equals to 1 itself right.
02:40
So now we are getting on solving we will be getting e to the power minus lambda is equals to 0 .5.
02:47
We will compare these two equations right.
02:50
So on comparing what you could say taking log on both sides both sides.
03:00
So basically when you talk about the log so you take log that is ln.
03:06
Ln means log with base n.
03:09
So ln e to the power like e to the power minus lambda right is equals to ln 0 .5...