Respuesta :
The most likely number of white corpuscles om a slide is 4 ,the probability of obtaining this number 4 is 0.190 , probability of obtaining at least two white corpuscles in total on the two slides is 0.999.
Attending to the first question
What is Poison Distribution ?
Poisson Distribution is used for an independent event to find its probability in a fixed interval of time .
Let X be the number of white corpuscles on a slide, then X~Pois(4.5)
a) We have to find the most likely number of white corpuscles on a slide , which means expected value of Poise(4.5)
The expected value of Poisson distribution with mean λ is equal to λ.
Therefore the expected value is 4.5.
the number of corpuscles cannot be non-integer,
To find the most likely number in one experiment,
determine it between 4 and 5.
In the common case P(X=k) when X~Poise(λ) is equal to [tex]\frac {\lambda^{k}} {k!}}e^{-\lambda}[/tex]
,[tex]\rm e^{-\lambda}[/tex] is a constant in terms of k
so the point is to find out what is greater : [tex]{\frac {4.5^4} {4!}}[/tex] or [tex]{\frac {4.5^5} {5!}}[/tex]
[tex]{\frac {4.5^5} {5!}}={\frac {4.5^4} {4!}} * {\frac {4.5} 5}[/tex]
[tex]{\frac {4.5} 5} < 1[/tex]
So, [tex]{\frac {4.5^4} {4!}}[/tex] is greater
So, the most likely number of white corpuscles om a slide is 4.
b) the probability of obtaining this number 4 is
P(X = 4)
= [tex]{\frac {4.5^4} {4!}}e^{-4.5}=0.190[/tex]
c) Let Y be the total number of corpuscles on two screens.
[tex]Y=X{\scriptscriptstyle 1}+X{\scriptscriptstyle 2}Y=X1+X2[/tex] ,
where [tex]X{\scriptscriptstyle 1}, X{\scriptscriptstyle 2}[/tex] - number of corpuscles on the first and second slide respectively.
Then Y = Poise(4.5 + 4.5) = Poise(9)
the probability, correct to three decimals places of obtaining at least two white corpuscles in total on the two slides
The goal is to find P(Y ≥ 2)
Therefore the probability less than 2 will be subtracted from the total probability i.e. 1
P(Y ≥ 2 ) = 1 - P (Y=0) - P(Y=1)
= [tex]1-{\frac {9^0} {0!}}e^{-9}-{\frac {9^1} {1!}}e^{-9}=1-10e^{-9}=0.999[/tex]
To know more about Poisson Distribution
https://brainly.com/question/17280826
#SPJ1