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August 7th, 2011, 11:39 AM  #1 
Newbie Joined: Aug 2011 Posts: 3 Thanks: 0  Normal approximation to the Poisson distribution + others
(a) A survey on 50 claims for a particular class of customers of a motor insurance company found out that the average cost for car damage is £700 with a standard deviation of 400. The insurance manager believes instead that the average cost is £80 bigger. (i) Does the sample data suggest that the manager is right? Test at a 5% significance level the hypothesis that the average cost is £780. Specify: null hypothesis, alternative hypothesis, critical region and comment on the result of the test. (b) For the same type of accidents, the number of claims per vehicle insured is known to follow a Poisson distribution with mean 0.03 per year. Using the normal approximation to the Poisson distribution, compute the probability that a group of 400 insured cars produces : (i) Less than 10 claims per year. (ii) More than 20 claims per year. (c) Assuming the cost per claim is 780 with standard deviation of 400, claims’ frequency and portfolio’s size are as specified above: (i) Compute the risk premium. (ii) Compute the value at risk at 99.5% level for the Insurer losses.  My attempt at solutions.. For part (a) this is what I did; H0 : m = 780 H1 : m = 700 From my test statistic I got 1.41. This is less than 1.96. So you don't reject null hypothesis. Also we can't conclude anything is statistically significant. Therefore, we can't tell if the manger is right or not. For (b) I don't get what it means by Normal Approximation to the Poisson Distribution but this is what I did. Also I don't know if I should use the 5% significance level from before (If I did I could use the Poisson Table?). (i) P(X < 10) = P(0) + P(1) + .. + P(9) To calculate each value I use: P(X)= (e^m)*(m^x)/ x! I don't know if I should be doing it like that or using the poisson table.. It doesn't seem to justify 4 marks.. (ii) P(X > 20) = 1  P(X < 20) From here I use the same method as before but have many more values..? I'm sure there must be a short cut as for 4 marks each.. Seems like a lot of work. Furthermore, what do I do with the 400? Does it just change my notation on my probabilities? I.e. P(X < 10, 400)? For part (c) (i) RP = average cost per claim * probability of claims. So RP= 780*[the answer I get from (b)(ii)] However, I don't know if my method of calculating in part (b)(ii) is correct, let alone (b)(i).. Finally, (ii) I'm completely lost.. 
August 8th, 2011, 03:35 PM  #2 
Global Moderator Joined: Nov 2006 From: UTC 5 Posts: 16,046 Thanks: 938 Math Focus: Number theory, computational mathematics, combinatorics, FOM, symbolic logic, TCS, algorithms  Re: Normal approximation to the Poisson distribution + other 
August 8th, 2011, 05:09 PM  #3 
Newbie Joined: Aug 2011 Posts: 3 Thanks: 0  Re: Normal approximation to the Poisson distribution + other
Yes, they were by me too. Please can you delete my post above? Thank you

August 8th, 2011, 08:39 PM  #4 
Global Moderator Joined: Nov 2006 From: UTC 5 Posts: 16,046 Thanks: 938 Math Focus: Number theory, computational mathematics, combinatorics, FOM, symbolic logic, TCS, algorithms  Re: Normal approximation to the Poisson distribution + other
Why do you want your post deleted? We don't usually do that here.

August 9th, 2011, 11:35 AM  #5 
Newbie Joined: Aug 2011 Posts: 3 Thanks: 0  Re: Normal approximation to the Poisson distribution + other
If you can't delete my thread. Then please delete my account.


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approximation, distribution, normal, poisson 
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