Answer:
a) 0.0613 b)0.0803
Step-by-step explanation:
Ms. Bergen estimates that the probability is 0.025 that an applicant will not be able to repay his or her installment loan.
p = 0.025
Let's consider that an applicant is not be able to repay his or her installment loan as a ''success''
p (success) = 0.025
Last month she made 40 loans ⇒ n = 40
For the poisson approximation to the binomial we need to calculate n.p that will be the λ parameter in our poisson approximation
![n.p=40.(0.025)=1](https://tex.z-dn.net/?f=n.p%3D40.%280.025%29%3D1)
λ=n.p=1
Let's rename λ = j
In our poisson approximation :
![f(k,j)=\frac{e^{-j} .j^{k} }{k!}](https://tex.z-dn.net/?f=f%28k%2Cj%29%3D%5Cfrac%7Be%5E%7B-j%7D%20.j%5E%7Bk%7D%20%7D%7Bk%21%7D)
f(k,j) is the probability function for our poisson variable where we calculated j,e is the euler number and k is the number of success :
![f(k,1)=\frac{e^{-1} .1^{k} }{k!}](https://tex.z-dn.net/?f=f%28k%2C1%29%3D%5Cfrac%7Be%5E%7B-1%7D%20.1%5E%7Bk%7D%20%7D%7Bk%21%7D)
For a) We are looking the probability of 3 success :
![f(3,1)=\frac{e^{-1} .1^{3} }{3!}=0.0613](https://tex.z-dn.net/?f=f%283%2C1%29%3D%5Cfrac%7Be%5E%7B-1%7D%20.1%5E%7B3%7D%20%7D%7B3%21%7D%3D0.0613)
For b) We are looking for the probability of at least 3 success
If ''L'' is the number of success
![P(L\geq 3)=1-P(L\leq 2)](https://tex.z-dn.net/?f=P%28L%5Cgeq%203%29%3D1-P%28L%5Cleq%202%29)
![P(L\leq 2)=P(L=0)+P(L=1)+P(L=2)](https://tex.z-dn.net/?f=P%28L%5Cleq%202%29%3DP%28L%3D0%29%2BP%28L%3D1%29%2BP%28L%3D2%29)
![P(L\leq 2)=f(0,1)+f(1,1)+f(2,1)](https://tex.z-dn.net/?f=P%28L%5Cleq%202%29%3Df%280%2C1%29%2Bf%281%2C1%29%2Bf%282%2C1%29)
![P(L\leq 2)=e^{-1} +e^{-1}+\frac{e^{-1}}{2} =e^{-1}(1+1+\frac{1}{2} )](https://tex.z-dn.net/?f=P%28L%5Cleq%202%29%3De%5E%7B-1%7D%20%2Be%5E%7B-1%7D%2B%5Cfrac%7Be%5E%7B-1%7D%7D%7B2%7D%20%3De%5E%7B-1%7D%281%2B1%2B%5Cfrac%7B1%7D%7B2%7D%20%29)
![P(L\geq 3)=1-P(L\leq 2)=1-e^{-1}(1+1+\frac{1}{2} )=0.0803](https://tex.z-dn.net/?f=P%28L%5Cgeq%203%29%3D1-P%28L%5Cleq%202%29%3D1-e%5E%7B-1%7D%281%2B1%2B%5Cfrac%7B1%7D%7B2%7D%20%29%3D0.0803)