Respuesta :
Answer:
(a) more than 2 such accidents in the next month [tex]\approx 0.3773[/tex]
(b) more than 4 such accidents in the next 2 months [tex]\approx 0.44882[/tex]
(c) more than 5 such accidents in the next 3 more than 5 such accidents in the next 3 months [tex]\approx 0.64533[/tex]
Step-by-step explanation:
Let N be the Random variable that marks the number of crashes in certain month.
Now let us use Poisson distribution since we are given with average number of crashes that is N \sim Pois(2.2)
(A) more than 2 such accidents in the next month
Probability(more than 2 such accidents in the next month)=P(N>2)
P(N>2)=1-P(N=0)-P(N=1)-P(N=2)
=>[tex]1-e^-{2.2}-2.2e^{-2.2}-\frac{2.2^2}{2!}e^{2.2}[/tex]
=> [tex]\approx 0.3773[/tex]
B) more than 4 such accidents in the next 2 months
since the average number of crashes in 1 month is 2.2, the average number of crashes in two months is 4.4. hence, if we say that [tex]N_1[/tex] is the number of crashes in 2 months, we have that [tex]N\sim[/tex]Pois(4.4)
Thus,
Probability(more than 4 such accidents in the next 2 months)=P([tex]N_1>4[/tex])
=[tex]1-P(N_1=0)-P(N_1=1)-P(N_1=2)=P(N_1=3)-P(N_1=4)[/tex]
[tex]1-\sum_{k=1}^{4} \frac{4.4^{k}}{k !} e^{-4.4}[/tex]
=> [tex]\approx 0.44882[/tex]
C) more than 5 such accidents in the next 3 more than 5 such accidents in the next 3 months
If we say that [tex]N_2[/tex] marks the number of crashes in the next 3 months , using the same argument as in (a) we have that a [tex]N\sim[/tex]Pois(6.6)
Hence
P([tex]N_2>5[/tex])=[tex]1-\sum_{k=0}^{5} \frac{6.6^{k}}{k !} e^{-6.6}[/tex]
=>[tex]\approx 0.64533[/tex]