Krzys’ Ostaszewski: http://www.krzysio.net Author of the “Been There Done That!” manual for Course P/1 http://smartURL.it/krzysioP (paper) or http://smartURL.it/krzysioPe (electronic) Instructor of online P/1 seminar: http://smartURL.it/onlineactuary If you find these exercises valuable, please consider buying the manual or attending the seminar, and if you can’t, please consider making a donation to the Actuarial Program at Illinois State University: https://www.math.ilstu.edu/actuary/giving/ Donations will be used for scholarships for actuarial students. Donations are taxdeductible to the extent allowed by law. If you have questions about these exercises, please send them by e-mail to: [email protected] P Sample Exam Questions, Problem No. 148, also Dr. Ostaszewski’s online exercise posted March 6, 2010 The number of hurricanes that will hit a certain house in the next ten years is Poisson distributed with mean 4. Each hurricane results in a loss that is exponentially distributed with mean 1000. Losses are mutually independent and independent of the number of hurricanes. Calculate the variance of the total loss due to hurricanes hitting this house in the next ten years. A. 4,000,000 B. 4,004,000 C. 8,000,000 D. 16,000,000 E. 20,000,000 Solution. Let N denote the number of hurricanes. Then N has a Poisson distribution with mean and variance 4. Let Xi denote the loss caused by the i-th hurricane. Then Xi has an exponential distribution with mean 1000 and variance 1000 2 = 1000000. Let X denote the total loss due to N hurricanes. Note that X1 , X2 , … and X N are independent, and therefore Var ( X ) = Var E ( X N ) + E Var ( X N ) = Var ( NE ( X1 )) + E ( NVar ( X1 )) = ( ) ( ) = Var (1000N ) + E (1000000N ) = 1000 2 ⋅ Var ( N ) + 1000000E ( N ) = Answer C. = 1000 2 ⋅ 4 + 1000000 ⋅ 4 = 8000000. © Copyright 2010 by Krzysztof Ostaszewski. All rights reserved. Reproduction in whole or in part without express written permission from the author is strictly prohibited. Exercises from the past actuarial examinations are copyrighted by the Society of Actuaries and/or Casualty Actuarial Society and are used here with permission.
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