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Unformatted text preview: Stat 479 Test 1
September 30, 2010 1. The number of student from Interest Theory that visit my office during office hours is distributed
as a Poisson distribution with a mean of 2 per hour. The number of students from Loss Models that visit my office during office hours is distributed
as a Poisson distribution with a mean of 1 per hour. The number of students from Life Contingencies that visit my office during office hours is
distributed as a Poisson distribution with a mean of 0.5 per hour. Calculate the probability that more than 3 students (from any class) visit my office during office
hours from 2:00 pm to 4:00 pm. 2. Losses in 2009 are distributed as a Pareto distribution with a = 3 and 0 = 10,000. Yan Health
Insurance Company sell a policy that covers these losses with a franchise deductible of 2000
during 2009. Losses in 2010 increase by 10%. During 2010, Yan will sell a policy covering the losses.
However, instead of the franchise deductible used in 2009, the company will implement an
ordinary deductible of d. l The expected value of per loss for Yan Health insurance Company is the same in 2010 as it was
in 2009. Determine d. if ‘2’ 1' ' The cost of an office visit to a doctor is distributed as a single parameter Pareto with OL = 2
and 6 = 50. The HMO for which the doctor works pays the doctor the cost of the office visit plus a bonus if the cost of the office visit is less than 80. The bonus is equal to 0.5(80C) were C is the
cost of the office visit. Calculate the expected total payment (cost of visit plus bonus) to the doctor per office visit. 4. The number of automobile accidents on Purdue campus during any given day is distributed as a zero modified Poisson distribution with A = 3. The variance of the number of accidents is
3.98883. ‘ Determine p34 given that pg,” 2 0.35 . 5 Qgggﬁ 1; (iwpyxg‘éawwgmé +(p;«>g,ula5f><5/.9u7gggg/Qm
' gaggxgpa .5 $88833 arooo‘h’épu m» 9?.ngg0u F§+Ww I my
' Wm gamiaaéazggﬁo Qﬁwamaigéﬂa) «= ‘7.5¢9WI2,25? {~90 \{ W ,j 62,6}c73305j3} ‘7 59:1091227 i: (W/“SQ’M’IZ N7) (,.5,;79//%) » V  2
x 10, 000 5. You are given F(x) = for 0 <X < 100. Calculate Va r(X). £59wa ‘e J W {a hm: mi; {if f L J 76
a2} ‘3 6. The random variable N is the number of failures per 100 iPhones in a given year. N is distributed as a Binomial distribution with ml: 100 and q. Further, q is distributed uniformly between 0.2
and 0.5. Calculate the Var(N). Hennessy HMO insures 100 identical independent policyholders. Losses for each policyholder
are distributed as a Gamma distribution with CL = 4 and 6. Using the normal approximation, the probability that the total claims from all 100 policyholders
will be less than 180,000 is 2.28%. Calculate 6. EC to at «l a 8. You are given the following claims from last year:
10, 14, 35, 50, 50, 50, 72, and 103
These claims are used to form an empirical distribution. Calculate u, 02, and the coefficient of variation. E MFWI‘QQLQQ “Digﬁlf‘f l3 MILK“ i0; “$33” p ‘52:
w Ag
y”?
g” 0 3:3 *9 9. Losses under an insurance policy based on US currency follows a single parameter Pareto
distribution with 0: =2. The VaRp(X) = 10 in US dollars. Each US dollar is worth 7.8 Hong Kong
dollars. Calculate the TVaRp(X) in Hong Kong dollars. {it ' l
X m “WW l P K i W P) ﬂaw/a2) m _ x “a;
6* 9 W i" 7%, gr 1 9’ “WM erg?» U 615 10. You are given the following distribution of losses: ' . “:7 iqwmﬁ "i‘iEQZQQ (i
ELK] 5: MDQ {$21) tagstjt) 4‘“ Béaé an) ...
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This note was uploaded on 03/15/2012 for the course STAT 479 taught by Professor Na during the Spring '10 term at Purdue UniversityWest Lafayette.
 Spring '10
 NA

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