Respuesta :
Answer:
The probability that waiting time until the next claim will exceed 4 more days i.e. P(X>6/X>2) = 0.3679
Step-by-step explanation:
From the given information:
Let consider X to be a random variable that follows an exponential distribution fo the waiting time.
Then; [tex]X \simeq Exp \bigg (\dfrac{1}{4} \bigg )[/tex] since the mean is distributed between 1 - 4 days
Thus:
[tex]F_x(x) = \left \{ {{\dfrac{1}{4}e^{-x/4} \atop {0}} \right ; x > 0 \ or \ otherwise[/tex]
The objective is to determine:
[tex]P(X > 6/ X > 2) = \dfrac{P(X >6 \cap X >2)}{P(X > 2)}[/tex]
[tex]P(X > 6/ X > 2) = \dfrac{P(X >6)}{P(X > 2)}[/tex]
Recall that:
[tex]P(X>a)=\int ^{\infty}_{a}\dfrac{1}{4}e^{-x/4} \ dx[/tex]
[tex]P(X>a)= \big ( -e ^{-x/4} \big ) ^{\infty}_{a}[/tex]
[tex]\implies P(X>6/X>2) = \dfrac{e^{-6/4}}{e^{-2/4}}[/tex]
[tex]P(X>6/X>2) = {e^{-(6/4 - 2/4)}}[/tex]
[tex]P(X>6/X>2) = {e^{-4/4}[/tex]
[tex]P(X>6/X>2) = {e^{-1}[/tex]
[tex]P(X>6/X>2)[/tex] = 0.3678794412
To four decimal places; we have:
The probability that waiting time until the next claim will exceed 4 more days i.e. P(X>6/X>2) = 0.3679