Answer :
Answer:
Mean = [tex]\lambda[/tex]
Variance = [tex]\lambda[/tex]
Step-by-step explanation:
We are given the following in the question:
The distributed number of electrons for the next stage can be treated as a Poisson distribution.
Properties of a Poisson distribution:
• The Poisson distribution is the discrete probability distribution of the number of events occurring in a given time period, given the average number of times the event occurs over that time period.
• The variance of Poisson distribution is equal to the mean of Poisson distribution.
a) Mean for the number of electrons in the [tex]n^{th}[/tex] stage.
[tex]\mu = \lambda[/tex]
b) Variance for the number of electrons in the [tex]n^{th}[/tex] stage.
[tex]\sigma^2 = \lambda[/tex]