See below for a link to a screenshot of the question.
Not smart enough to help with this sorry ;-;
No problemo. Thanks anyway!
I'm trying to apply the method outlined in the following article: http://mathmodelsblog.wordpress.com/2010/01/05/an-insurance-example-of-a-mixed-distribution-%E2%80%93-ii/ However, when I try to apply the method, I get the wrong answer. The correct answer is E.
haha i've actually taken this exam before ok the claim "y" = loss(x) - deductible --> y = x-4 or x = y+4 any loss less than 4 has a 0 claim payment so its not considered \[E(y)= \sum_{}^{} y*p(y)\] \[p(y) = .02(y+4) , 0<y<6\] \[E(y) = .02 \int\limits_0^6 y(y+4)dy = 2.88\]
Thanks dumbcow for your reply! I did what you did and got the same answer. However, for the some reason the solution manual reads: http://i.imgur.com/fh1pk49.png I don't know if we're doing it wrong or if the solution manual is wrong :(
ohh well it has been a few years and i never passed exam 2 seems we have to adjust p(y) based on how likely it is for loss to be more than 4 \[P(x>4) = .02 \int\limits_4^{10} x dx = .84\] \[p(y) = \frac{.02(y+4)}{.84}, 0<y<6\]
Oh, I suppose they didn't use conditional expressions in the article because an exponential distribution was used as an example and exponential distributions are memoryless: http://i.imgur.com/llyOk98.png Makes sense now! Thanks for your help dumbcow.
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