This exam contains 8 pages (including this cover page) and 5 problems. Check to see if any pages are missing.
|
|
- Elinor Montgomery
- 5 years ago
- Views:
Transcription
1 Stat 475 Winter 207 Midterm Exam 27 February 207 Name: This exam contains 8 pages (including this cover page) and 5 problems Check to see if any pages are missing You may only use an SOA-approved calculator and a pencil or pen on this exam You are required to show your work on each problem on this exam Grade calculation errors: If I made an arithmetic mistake (I miscounted your total points) please come and see me and I will x it Regrade requests: I make every eort to grade your test (and those of your classmates) fairly If you feel I graded a portion of your test too harshly, please write an explanation on the back of the test and turn it into me by Wednesday March 5th in class Please note that to maintain fairness your entire test will be regraded, potentially resulting in a lower overall grade Problem Points Score Total: 54
2 Stat 475 Midterm Exam - Page 2 of 8 27 February 207 You are given the following information for (70): p 70 0:9; 2p 70 0:8; 3p 70 0:6; 4p 70 0:3; 5p 70 0 a [3 pts] Give the PMF (probability mass function) for the random variable K 70 b [ pt] Calculate P [K 70 > 3] c [2 pts] Calculate e 70 d [2 pts] Calculate p 7 e [2 pts] Calculate 0:7 q 70:6 under the CFM fractional age assumption Now suppose that you make a fractional age assumption such that the inverse of `x is linearly interpolated between ages, ie, for integer x and 0 s < ; `x+s ( s) `x + s `x+ : (Note: This assumption, which is rarely used in modern practice, is known as the Balducci or hyperbolic fractional age assumption) f [3 pts] Show that under this fractional age assumption, s q x+s ( s)q x g [2 pts] Calculate :3 p 70:7 under this fractional age assumption Solution:
3 Stat 475 Midterm Exam - Page 3 of 8 27 February 207 (b) P [K 70 > 3] 0:3 (a) k P [K 70 k] (c) There are a couple dierent ways to nd e 3 : (i) We can use the formula for a generic discrete RV and the pmf above: E[K 3 ] 0(0:) + (0:) + 2(0:2) + 3(0:3) + 4(0:3) 26 (ii) We can use the formula we derived for e x : e 70 X k (d) p 70 p 7 2 p 7 ) p 7 0:89: kp 70 p p p p p :9+0:8+0:6+0:3+0+ 2:6 (e) 0:7 q 70:6 0:7p 70:6 ( 0:4 p 70:6 )( 0:3 p 7 ) CF (p 70 ) 0:4 (p 7 ) 0:0742 (f) sq x+s `x+ `x+s 0:3 CF `x+ `x+s `x+ ( s) `x + s `x+ ( s) `x+ + s `x+ `x+ `x [( s) p x + s ] ( s) p x s s ( s) p x ( s)( p x ) ( s)q x (0:9) 0:4 (0:89) 0:3 CF (g) :3 p 70:7 ( 0:3 p 70:7 )(p 7 ) ( 0:3q 70:7 )(p 7 ) Bal ( (0:3)q 70 )(p 7 ) Bal ( (0:3)(0:))(0:89) 0:8633
4 Stat 475 Midterm Exam - Page 4 of 8 27 February Let F 0 (t) e t ; where > 0 a [ pt] Find the corresponding survival function S 0 (t) b [3 pts] Show that S 0 (t) is a valid survival function c [2 pts] Derive an expression for x under this survival model, simplifying as far as possible d [2 pts] Based on your answer to the previous part, briey comment on the form of the force of mortality function and the appropriateness of using this survival model to describe the mortality of a human population e [2 pts] Find an expression for t p x and simplify as far as possible f [3 pts] If 0:, calculate 5 j 5 q 0 and write a sentence that interprets this value g [3 pts] Show that e x Hint: X ar k a r k0 e
5 Stat 475 Midterm Exam - Page 5 of 8 27 February 207 Answer: (a) S 0 (t) F 0 (t) e (b) t (i) lim t! S 0(t) lim t! e t 0 (ii) S 0 (0) e 0 d (iii) dt S 0(t) ( )e t The rst term is negative and the second term is positive, so the product is negative for all t > 0, meaning that S 0 (t) is a non-increasing function of t Then we have shown that S 0 (t) is a valid survival function d dx (c) x S 0(x) ( )e t S 0 (x) e t (d) The force of mortality is a constant (it does not vary by age), making it inappropriate to model human populations; in human populations, the force of mortality will tend to increase with age (e) tp x S x (t) S 0(x + t) S 0 (x) F 0(x + t) F 0 (x) e (x+t) e (x) e t (f) 5 j 5 q 0 5 p 0 5 q 25 5 p 0 ( 5p 25 ) e (0:)(5) ( e (0:)(5) ) 0:08779 This is the probabiity that a person age 0 dies between the ages of 25 and 30 (g) e x X X k k kp x X k e k e k " X k0 e k # e e e e e e e e
6 Stat 475 Midterm Exam - Page 6 of 8 27 February For a particular person age 40, you are given that 0:03 t < t 0:05 t 20 a [2 pts] Calculate 0 p 40 b [3 pts] Calculate 30 p 40 c [3 pts] Calculate 30 j 0 q 40 Solution: (a) A survival function S x (t) for a person age x must meet the following three criteria: (i) S x (0) (ii) lim t! S x (t) 0 (iii) S x (t) is a non-increasing function of t R 0 (b) 0 p 40 e 0 40+t dt e 0:03tj (c) (d) 30p 40 e e e e e : R t dt R t dt R t dt R 20 R 0 0:03 dt 30 0:05 dt 20 0:6 0: j 0 q p 40 0 q 70 30j 0 q 40 (0:33287) e 30j 0 q 40 (0:33287) e 0:5 30j 0 q 40 (0:33287) (0:39346) R :05 dt
7 Stat 475 Midterm Exam - Page 7 of 8 27 February Let Z be the random variable representing the present value of benets for a 3-year term insurance with death benet payable at the end of the year of death issued to [82] You are given: The death benet is $400 if the insured dies in the rst year, $350 if the insured dies in the second year, and $300 if the insured dies in the third year Mortality is given by the following select and ultimate mortality table with a 2 year select period [x] q [x] q [x]+ q x+2 x i 0% a [2 pts] Calculate E[Z] Answer: E[Z] (363:64 0:208) + (289:25 0:73) + (225:39 0:4) + (0 0:478) 5746 b [3 pts] Calculate V ar(z) Answer: E[Z 2 ] (363:64 2 0:208) + (289:25 2 0:73) + (225:39 2 0:4) + (0 2 0:478) 49; 4:72 V ar(z) E[Z 2 ] E[Z] 2 49; 4:72 (57:46) 2 24,34807 c [2 pts] Calculate P (Z < $50) Answer: P (Z < $50) 0:478 from the PMF above
8 Stat 475 Midterm Exam - Page 8 of 8 27 February For Freddy, who is 60 years old, you are given the following: A 60:3 0:45; A 60:3 0:762; p 63 p 64 0:9; i 0: a [ pt] Calculate A and give the alternate symbol for this quantity 60:3 Answer: A 60:3 3E 60 A 60:3 A 0:762 0: :3 b [ pt] Calculate 3 p 60 Answer: 3 E 60 A 0:67 60:3 v3 3p 60 so that 3 p 60 (0:67)(:) Freddy is currently working and plans to retire at age 65 Because he has family members who depend on his income, he is considering purchasing a 5-year term policy with a death benet of $200; 000 payable at the end of the year of death to help replace his income should he die within the next 5 years c [2 pts] Calculate the EPV of this insurance i Answer: EP V ha 60:3 + 3E 60 q 63 v + 3 E 60 p 63 q 64 v [0: ] d [2 pts] Calculate the probability that this policy will pay a benet Answer: The probability this policy will pay a benet is 5 q 60 5p 60 3 p 60 p 63 p 64 0:822(0:9) 2 0:6652 so that 5 q 60 5p 60 0: Freddy's friend Jason suggests that because this policy has a low probability of ever paying a benet, Freddy would be better o using the money he would spend on this policy and instead investing it in, for example, a government insured savings account e [2 pts] Explain why Freddy should still purchase this policy, despite the fact that he will likely lose money on it (And in fact, he will lose money on average, assuming that the insurer charges more than the EPV for the policy) Answer: It may still be sensible to buy the insurance, even if he loses money in most cases, and even loses money on average, because doing so hedges his mortality risk In this case, this is the risk that he will die in the next 5 years and his family will not have the income from him that they need Purchasing the insurance helps to mitigate the nancial loss associated with him dying in the next 5 years If he were to put the money in the bank and then die soon thereafter, his family would only have maybe $55; 000 or $60; 000, which may not be enough
This exam contains 8 pages (including this cover page) and 5 problems. Check to see if any pages are missing.
Stat 475 Winter 2017 Midterm Exam 27 February 2017 Name: This exam contains 8 pages (including this cover page) and 5 problems Check to see if any pages are missing You may only use an SOA-approved calculator
More informationStat 475 Winter 2018
Stat 475 Winter 208 Homework Assignment 4 Due Date: Tuesday March 6 General Notes: Please hand in Part I on paper in class on the due date. Also email Nate Duncan natefduncan@gmail.com the Excel spreadsheet
More informationLife Tables and Selection
Life Tables and Selection Lecture: Weeks 4-5 Lecture: Weeks 4-5 (Math 3630) Life Tables and Selection Fall 2017 - Valdez 1 / 29 Chapter summary Chapter summary What is a life table? also called a mortality
More informationLife Tables and Selection
Life Tables and Selection Lecture: Weeks 4-5 Lecture: Weeks 4-5 (Math 3630) Life Tables and Selection Fall 2018 - Valdez 1 / 29 Chapter summary Chapter summary What is a life table? also called a mortality
More information2 hours UNIVERSITY OF MANCHESTER. 8 June :00-16:00. Answer ALL six questions The total number of marks in the paper is 100.
2 hours UNIVERSITY OF MANCHESTER CONTINGENCIES 1 8 June 2016 14:00-16:00 Answer ALL six questions The total number of marks in the paper is 100. University approved calculators may be used. 1 of 6 P.T.O.
More informationSOCIETY OF ACTUARIES. EXAM MLC Models for Life Contingencies EXAM MLC SAMPLE WRITTEN-ANSWER QUESTIONS AND SOLUTIONS
SOCIETY OF ACTUARIES EXAM MLC Models for Life Contingencies EXAM MLC SAMPLE WRITTEN-ANSWER QUESTIONS AND SOLUTIONS Questions September 17, 2016 Question 22 was added. February 12, 2015 In Questions 12,
More informationSurvival models. F x (t) = Pr[T x t].
2 Survival models 2.1 Summary In this chapter we represent the future lifetime of an individual as a random variable, and show how probabilities of death or survival can be calculated under this framework.
More informationHeriot-Watt University BSc in Actuarial Science Life Insurance Mathematics A (F70LA) Tutorial Problems
Heriot-Watt University BSc in Actuarial Science Life Insurance Mathematics A (F70LA) Tutorial Problems 1. Show that, under the uniform distribution of deaths, for integer x and 0 < s < 1: Pr[T x s T x
More informationChapter 5 - Annuities
5-1 Chapter 5 - Annuities Section 5.3 - Review of Annuities-Certain Annuity Immediate - It pays 1 at the end of every year for n years. The present value of these payments is: where ν = 1 1+i. 5-2 Annuity-Due
More informationStat 476 Life Contingencies II. Policy values / Reserves
Stat 476 Life Contingencies II Policy values / Reserves Future loss random variables When we discussed the setting of premium levels, we often made use of future loss random variables. In that context,
More informationChapter 4 - Insurance Benefits
Chapter 4 - Insurance Benefits Section 4.4 - Valuation of Life Insurance Benefits (Subsection 4.4.1) Assume a life insurance policy pays $1 immediately upon the death of a policy holder who takes out the
More information1 Cash-flows, discounting, interest rates and yields
Assignment 1 SB4a Actuarial Science Oxford MT 2016 1 1 Cash-flows, discounting, interest rates and yields Please hand in your answers to questions 3, 4, 5, 8, 11 and 12 for marking. The rest are for further
More informationECEn 370 Introduction to Probability
RED- You can write on this exam. ECEn 7 Introduction to Probability Section Midterm Winter, Instructor Professor Brian Mazzeo Closed Book - You can bring one 8.5 X sheet of handwritten notes on both sides.
More informationCentral Limit Theorem, Joint Distributions Spring 2018
Central Limit Theorem, Joint Distributions 18.5 Spring 218.5.4.3.2.1-4 -3-2 -1 1 2 3 4 Exam next Wednesday Exam 1 on Wednesday March 7, regular room and time. Designed for 1 hour. You will have the full
More informationBusiness Statistics 41000: Homework # 2
Business Statistics 41000: Homework # 2 Drew Creal Due date: At the beginning of lecture # 5 Remarks: These questions cover Lectures #3 and #4. Question # 1. Discrete Random Variables and Their Distributions
More informationMay 2012 Course MLC Examination, Problem No. 1 For a 2-year select and ultimate mortality model, you are given:
Solutions to the May 2012 Course MLC Examination by Krzysztof Ostaszewski, http://www.krzysio.net, krzysio@krzysio.net Copyright 2012 by Krzysztof Ostaszewski All rights reserved. No reproduction in any
More informationSTT 455-6: Actuarial Models
STT 455-6: Actuarial Models Albert Cohen Actuarial Sciences Program Department of Mathematics Department of Statistics and Probability A336 Wells Hall Michigan State University East Lansing MI 48823 albert@math.msu.edu
More informationStat 274 Theory of Interest. Chapter 1: The Growth of Money. Brian Hartman Brigham Young University
Stat 274 Theory of Interest Chapter 1: The Growth of Money Brian Hartman Brigham Young University What is interest? An investment of K grows to S, then the difference (S K) is the interest. Why do we charge
More informationStat 475 Winter 2018
Stat 475 Winter 2018 Homework Assignment 4 Due Date: Tuesday March 6 General Notes: Please hand in Part I on paper in class on the due date Also email Nate Duncan (natefduncan@gmailcom) the Excel spreadsheet
More informationAnnuities. Lecture: Weeks 8-9. Lecture: Weeks 8-9 (Math 3630) Annuities Fall Valdez 1 / 41
Annuities Lecture: Weeks 8-9 Lecture: Weeks 8-9 (Math 3630) Annuities Fall 2017 - Valdez 1 / 41 What are annuities? What are annuities? An annuity is a series of payments that could vary according to:
More informationTest 1 STAT Fall 2014 October 7, 2014
Test 1 STAT 47201 Fall 2014 October 7, 2014 1. You are given: Calculate: i. Mortality follows the illustrative life table ii. i 6% a. The actuarial present value for a whole life insurance with a death
More informationECEn 370 Introduction to Probability
ECEn 7 Midterm RED- You can write on this exam. ECEn 7 Introduction to Probability Section Midterm Winter, Instructor Professor Brian Mazzeo Closed Book - You can bring one 8.5 X sheet of handwritten notes
More informationManual for SOA Exam MLC.
Chapter 3. Life tables. Extract from: Arcones Fall 2009 Edition, available at http://www.actexmadriver.com/ 1/11 (#28, Exam M, Spring 2005) For a life table with a one-year select period, you are given:
More informationAnnuities. Lecture: Weeks Lecture: Weeks 9-11 (Math 3630) Annuities Fall Valdez 1 / 44
Annuities Lecture: Weeks 9-11 Lecture: Weeks 9-11 (Math 3630) Annuities Fall 2017 - Valdez 1 / 44 What are annuities? What are annuities? An annuity is a series of payments that could vary according to:
More informationAnnuities. Lecture: Weeks 8-9. Lecture: Weeks 8-9 (Math 3630) Annuities Fall Valdez 1 / 41
Annuities Lecture: Weeks 8-9 Lecture: Weeks 8-9 (Math 3630) Annuities Fall 2017 - Valdez 1 / 41 What are annuities? What are annuities? An annuity is a series of payments that could vary according to:
More informationExam MLC Spring 2007 FINAL ANSWER KEY
Exam MLC Spring 2007 FINAL ANSWER KEY Question # Answer Question # Answer 1 E 16 B 2 B 17 D 3 D 18 C 4 E 19 D 5 C 20 C 6 A 21 B 7 E 22 C 8 E 23 B 9 E 24 A 10 C 25 B 11 A 26 A 12 D 27 A 13 C 28 C 14 * 29
More informationMATH 3630 Actuarial Mathematics I Class Test 2 - Section 1/2 Wednesday, 14 November 2012, 8:30-9:30 PM Time Allowed: 1 hour Total Marks: 100 points
MATH 3630 Actuarial Mathematics I Class Test 2 - Section 1/2 Wednesday, 14 November 2012, 8:30-9:30 PM Time Allowed: 1 hour Total Marks: 100 points Please write your name and student number at the spaces
More informationPage Points Score Total: 100
Math 1130 Spring 2019 Sample Midterm 3a 4/11/19 Name (Print): Username.#: Lecturer: Rec. Instructor: Rec. Time: This exam contains 9 pages (including this cover page) and 9 problems. Check to see if any
More informationStat 476 Life Contingencies II. Pension Mathematics
Stat 476 Life Contingencies II Pension Mathematics Pension Plans Many companies sponsor pension plans for their employees. There are a variety of reasons why a company might choose to have a pension plan:
More informationPage Points Score Total: 100
Math 1130 Spring 2019 Sample Midterm 2b 2/28/19 Name (Print): Username.#: Lecturer: Rec. Instructor: Rec. Time: This exam contains 10 pages (including this cover page) and 9 problems. Check to see if any
More informationMATH/STAT 4720, Life Contingencies II Fall 2015 Toby Kenney
MATH/STAT 4720, Life Contingencies II Fall 2015 Toby Kenney In Class Examples () September 2, 2016 1 / 145 8 Multiple State Models Definition A Multiple State model has several different states into which
More informationDO NOT OPEN THIS QUESTION BOOKLET UNTIL YOU ARE TOLD TO DO SO
QUESTION BOOKLET EE 126 Spring 2006 Final Exam Wednesday, May 17, 8am 11am DO NOT OPEN THIS QUESTION BOOKLET UNTIL YOU ARE TOLD TO DO SO You have 180 minutes to complete the final. The final consists of
More informationINSTRUCTIONS TO CANDIDATES
Society of Actuaries Canadian Institute of Actuaries Exam MLC Models for Life Contingencies Friday, October 28, 2016 8:30 a.m. 12:45 p.m. MLC General Instructions 1. Write your candidate number here. Your
More informationChapter 2 and 3 Exam Prep Questions
1 You are given the following mortality table: q for males q for females 90 020 010 91 02 01 92 030 020 93 040 02 94 00 030 9 060 040 A life insurance company currently has 1000 males insured and 1000
More informationProbability Theory and Simulation Methods. April 9th, Lecture 20: Special distributions
April 9th, 2018 Lecture 20: Special distributions Week 1 Chapter 1: Axioms of probability Week 2 Chapter 3: Conditional probability and independence Week 4 Chapters 4, 6: Random variables Week 9 Chapter
More informationYou are responsible for upholding the University of Maryland Honor Code while taking this exam.
Econ 300 Spring 013 First Midterm Exam version W Answers This exam consists of 5 multiple choice questions. The maximum duration of the exam is 50 minutes. 1. In the spaces provided on the scantron, write
More informationAlgebra 2 Final Exam
Algebra 2 Final Exam Name: Read the directions below. You may lose points if you do not follow these instructions. The exam consists of 30 Multiple Choice questions worth 1 point each and 5 Short Answer
More information1. Datsenka Dog Insurance Company has developed the following mortality table for dogs: l x
1. Datsenka Dog Insurance Company has developed the following mortality table for dogs: Age l Age 0 000 5 100 1 1950 6 1000 1850 7 700 3 1600 8 300 4 1400 9 0 l Datsenka sells an whole life annuity based
More informationNovember 2012 Course MLC Examination, Problem No. 1 For two lives, (80) and (90), with independent future lifetimes, you are given: k p 80+k
Solutions to the November 202 Course MLC Examination by Krzysztof Ostaszewski, http://www.krzysio.net, krzysio@krzysio.net Copyright 202 by Krzysztof Ostaszewski All rights reserved. No reproduction in
More informationChapter 3 Discrete Random Variables and Probability Distributions
Chapter 3 Discrete Random Variables and Probability Distributions Part 4: Special Discrete Random Variable Distributions Sections 3.7 & 3.8 Geometric, Negative Binomial, Hypergeometric NOTE: The discrete
More informationACTUARIAL APPLICATIONS OF THE LINEAR HAZARD TRANSFORM
ACTUARIAL APPLICATIONS OF THE LINEAR HAZARD TRANSFORM by Lingzhi Jiang Bachelor of Science, Peking University, 27 a Project submitted in partial fulfillment of the requirements for the degree of Master
More information8.5 Numerical Evaluation of Probabilities
8.5 Numerical Evaluation of Probabilities 1 Density of event individual became disabled at time t is so probability is tp 7µ 1 7+t 16 tp 11 7+t 16.3e.4t e.16 t dt.3e.3 16 Density of event individual became
More informationPage Points Score Total: 100
Math 1130 Autumn 2018 Sample Midterm 2c 2/28/19 Name (Print): Username.#: Lecturer: Rec. Instructor: Rec. Time: This exam contains 8 pages (including this cover page) and 6 problems. Check to see if any
More informationFinancial Economics Field Exam August 2008
Financial Economics Field Exam August 2008 There are two questions on the exam, representing Macroeconomic Finance (234A) and Corporate Finance (234C). Please answer both questions to the best of your
More information50, 000[ v(0.03) v (1 0.03)0.07 v (1 0.03)(1 0.07)0.1]
. Kevin, (5), purchases a fuy curtate three year term insurance with a death benefit of 5,. Kevin s mortaity is epected to foow the foowing one year seect and utimate tabe: [] q [ ] q 49..4 5 5.3.7 5 5.5.
More informationGross Premium. gross premium gross premium policy value (using dirsct method and using the recursive formula)
Gross Premium In this section we learn how to calculate: gross premium gross premium policy value (using dirsct method and using the recursive formula) From the ACTEX Manual: There are four types of expenses:
More informationSTAT 3090 Test 2 - Version B Fall Student s Printed Name: PLEASE READ DIRECTIONS!!!!
Student s Printed Name: Instructor: XID: Section #: Read each question very carefully. You are permitted to use a calculator on all portions of this exam. You are NOT allowed to use any textbook, notes,
More informationLecture 34. Summarizing Data
Math 408 - Mathematical Statistics Lecture 34. Summarizing Data April 24, 2013 Konstantin Zuev (USC) Math 408, Lecture 34 April 24, 2013 1 / 15 Agenda Methods Based on the CDF The Empirical CDF Example:
More informationThe Monthly Payment. ( ) ( ) n. P r M = r 12. k r. 12C, which must be rounded up to the next integer.
MATH 116 Amortization One of the most useful arithmetic formulas in mathematics is the monthly payment for an amortized loan. Here are some standard questions that apply whenever you borrow money to buy
More informationINSTRUCTIONS TO CANDIDATES
Society of Actuaries Canadian Institute of Actuaries Exam MLC Models for Life Contingencies Tuesday, April 29, 2014 8:30 a.m. 12:45 p.m. MLC General Instructions INSTRUCTIONS TO CANDIDATES 1. Write your
More informationACSC/STAT 3720, Life Contingencies I Winter 2018 Toby Kenney Homework Sheet 5 Model Solutions
Basic Questions ACSC/STAT 3720, Life Contingencies I Winter 2018 Toby Kenney Homework Sheet 5 Model Solutions 1. An insurance company offers a whole life insurance policy with benefit $500,000 payable
More informationName For those going into. Algebra 1 Honors. School years that begin with an ODD year: do the odds
Name For those going into LESSON 2.1 Study Guide For use with pages 64 70 Algebra 1 Honors GOAL: Graph and compare positive and negative numbers Date Natural numbers are the numbers 1,2,3, Natural numbers
More informationPSTAT 172A: ACTUARIAL STATISTICS FINAL EXAM
PSTAT 172A: ACTUARIAL STATISTICS FINAL EXAM March 17, 2009 This exam is closed to books and notes, but you may use a calculator. You have 3 hours. Your exam contains 7 questions and 11 pages. Please make
More informationExam M Fall 2005 PRELIMINARY ANSWER KEY
Exam M Fall 005 PRELIMINARY ANSWER KEY Question # Answer Question # Answer 1 C 1 E C B 3 C 3 E 4 D 4 E 5 C 5 C 6 B 6 E 7 A 7 E 8 D 8 D 9 B 9 A 10 A 30 D 11 A 31 A 1 A 3 A 13 D 33 B 14 C 34 C 15 A 35 A
More informationFinance 651: PDEs and Stochastic Calculus Midterm Examination November 9, 2012
Finance 65: PDEs and Stochastic Calculus Midterm Examination November 9, 0 Instructor: Bjørn Kjos-anssen Student name Disclaimer: It is essential to write legibly and show your work. If your work is absent
More informationa b c d e Unanswered The time is 8:51
1 of 17 1/4/2008 11:54 AM 1. The following mortality table is for United Kindom Males based on data from 2002-2004. Click here to see the table in a different window Compute s(35). a. 0.976680 b. 0.976121
More informationMultiple Life Models. Lecture: Weeks Lecture: Weeks 9-10 (STT 456) Multiple Life Models Spring Valdez 1 / 38
Multiple Life Models Lecture: Weeks 9-1 Lecture: Weeks 9-1 (STT 456) Multiple Life Models Spring 215 - Valdez 1 / 38 Chapter summary Chapter summary Approaches to studying multiple life models: define
More informationECN101: Intermediate Macroeconomic Theory TA Section
ECN101: Intermediate Macroeconomic Theory TA Section (jwjung@ucdavis.edu) Department of Economics, UC Davis November 4, 2014 Slides revised: November 4, 2014 Outline 1 2 Fall 2012 Winter 2012 Midterm:
More informationPSTAT 172A: ACTUARIAL STATISTICS FINAL EXAM
PSTAT 172A: ACTUARIAL STATISTICS FINAL EXAM March 19, 2008 This exam is closed to books and notes, but you may use a calculator. You have 3 hours. Your exam contains 9 questions and 13 pages. Please make
More informationINSTITUTE AND FACULTY OF ACTUARIES. Curriculum 2019 SPECIMEN SOLUTIONS
INSTITUTE AND FACULTY OF ACTUARIES Curriculum 2019 SPECIMEN SOLUTIONS Subject CM1A Actuarial Mathematics Institute and Faculty of Actuaries 1 ( 91 ( 91 365 1 0.08 1 i = + 365 ( 91 365 0.980055 = 1+ i 1+
More informationPre-Algebra, Unit 7: Percents Notes
Pre-Algebra, Unit 7: Percents Notes Percents are special fractions whose denominators are 100. The number in front of the percent symbol (%) is the numerator. The denominator is not written, but understood
More informationMath Fall 2016 Final Exam December 10, Total 100
Name: Math 111 - Fall 2016 Final Exam December 10, 2016 Section: Student ID Number: 1 15 2 13 3 14 4 15 5 13 6 15 7 15 Total 100 You are allowed to use a Ti-30x IIS Calculator (only this model!), a ruler,
More informationTest 6A AP Statistics Name:
Test 6A AP Statistics Name: Part 1: Multiple Choice. Circle the letter corresponding to the best answer. 1. A marketing survey compiled data on the number of personal computers in households. If X = the
More informationUQ, STAT2201, 2017, Lectures 3 and 4 Unit 3 Probability Distributions.
UQ, STAT2201, 2017, Lectures 3 and 4 Unit 3 Probability Distributions. Random Variables 2 A random variable X is a numerical (integer, real, complex, vector etc.) summary of the outcome of the random experiment.
More informationStandard Deviation. 1 Motivation 1
Standard Deviation Table of Contents 1 Motivation 1 2 Standard Deviation 2 3 Computing Standard Deviation 4 4 Calculator Instructions 7 5 Homework Problems 8 5.1 Instructions......................................
More informationExam MLC Models for Life Contingencies. Friday, October 27, :30 a.m. 12:45 p.m. INSTRUCTIONS TO CANDIDATES
Society of Actuaries Canadian Institute of Actuaries Exam MLC Models for Life Contingencies Friday, October 27, 2017 8:30 a.m. 12:45 p.m. MLC General Instructions 1. Write your candidate number here. Your
More informationName: Math 10250, Final Exam - Version A May 8, 2007
Math 050, Final Exam - Version A May 8, 007 Be sure that you have all 6 pages of the test. Calculators are allowed for this examination. The exam lasts for two hours. The Honor Code is in effect for this
More informationValuation and Tax Policy
Valuation and Tax Policy Lakehead University Winter 2005 Formula Approach for Valuing Companies Let EBIT t Earnings before interest and taxes at time t T Corporate tax rate I t Firm s investments at time
More informationCredibility. Chapters Stat Loss Models. Chapters (Stat 477) Credibility Brian Hartman - BYU 1 / 31
Credibility Chapters 17-19 Stat 477 - Loss Models Chapters 17-19 (Stat 477) Credibility Brian Hartman - BYU 1 / 31 Why Credibility? You purchase an auto insurance policy and it costs $150. That price is
More informationFinal Exam Sample Problems
MATH 00 Sec. Final Exam Sample Problems Please READ this! We will have the final exam on Monday, May rd from 0:0 a.m. to 2:0 p.m.. Here are sample problems for the new materials and the problems from the
More informationEconomics 135. Bond Pricing and Interest Rates. Professor Kevin D. Salyer. UC Davis. Fall 2009
Economics 135 Bond Pricing and Interest Rates Professor Kevin D. Salyer UC Davis Fall 2009 Professor Kevin D. Salyer (UC Davis) Money and Banking Fall 2009 1 / 12 Bond Pricing Formulas - Interest Rates
More informationAs you draw random samples of size n, as n increases, the sample means tend to be normally distributed.
The Central Limit Theorem The central limit theorem (clt for short) is one of the most powerful and useful ideas in all of statistics. The clt says that if we collect samples of size n with a "large enough
More informationActuarial Factors Documentation
Actuarial Factors Documentation Version Description of Change Author Date 1.00 Initial Documentation Douglas Hahn Dec 22, 2016 1.01 Corrected error in guaranteed pension Douglas Hahn Jan 6, 2017 Platinum
More informationLife annuities. Actuarial mathematics 3280 Department of Mathematics and Statistics York University. Edward Furman.
Edward Furman, Actuarial mathematics MATH3280 p. 1/53 Life annuities Actuarial mathematics 3280 Department of Mathematics and Statistics York University Edward Furman efurman@mathstat.yorku.ca Edward Furman,
More informationMATH 2070 Test 2 (Sections & )
Multiple Choice: Use a #2 pencil and completely fill in each bubble on your scantron to indicate the answer to each question. Each question has one correct answer. If you indicate more than one answer,
More informationSuppose a farmer is eligible what triggers a corn PLC Payment? Suppose a farmer is eligible what triggers a corn County ARC Payment?
AAE 320 Fall 2014 Final Exam Name: 1) (20 pts. total, 2 pts. each) True or False? Mark your answer. a) T F Wisconsin s cranberry industry maybe important in the U.S., but production in Canada far exceeds
More information1. The force of mortality at age x is given by 10 µ(x) = 103 x, 0 x < 103. Compute E(T(81) 2 ]. a. 7. b. 22. c. 23. d. 20
1 of 17 1/4/2008 12:01 PM 1. The force of mortality at age x is given by 10 µ(x) = 103 x, 0 x < 103. Compute E(T(81) 2 ]. a. 7 b. 22 3 c. 23 3 d. 20 3 e. 8 2. Suppose 1 for 0 x 1 s(x) = 1 ex 100 for 1
More informationA. 11 B. 15 C. 19 D. 23 E. 27. Solution. Let us write s for the policy year. Then the mortality rate during year s is q 30+s 1.
Solutions to the Spring 213 Course MLC Examination by Krzysztof Ostaszewski, http://wwwkrzysionet, krzysio@krzysionet Copyright 213 by Krzysztof Ostaszewski All rights reserved No reproduction in any form
More information21.1 Arithmetic Growth and Simple Interest
21.1 Arithmetic Growth and Simple Interest When you open a savings account, your primary concerns are the safety and growth of your savings. Suppose you deposit $100 in an account that pays interest at
More informationEconomics. The last two weeks...
Economics The last two weeks... Final Exam (Thursday, December 14) Practice tests and review materials on Wednesday Extra Credit Stock Project (due on Thursday, December 14) Today: Measuring Economic Performance
More informationAdding & Subtracting Percents
Ch. 5 PERCENTS Percents can be defined in terms of a ratio or in terms of a fraction. Percent as a fraction a percent is a special fraction whose denominator is. Percent as a ratio a comparison between
More informationChapter 3: United-linked Policies
Chapter 3: United-linked Policies Tak Kuen (Ken) Siu Department of Actuarial Mathematics and Statistics School of Mathematical and Computer Sciences Heriot-Watt University Term III, 2006/07 Due to increasingly
More informationHow Government Borrowing Affects Investment and the Trade Balance *
OpenStax-CNX module: m48802 1 How Government Borrowing Affects Investment and the Trade Balance * OpenStax This work is produced by OpenStax-CNX and licensed under the Creative Commons Attribution License
More informationDr. Maddah ENMG 625 Financial Eng g II 10/16/06
Dr. Maddah ENMG 65 Financial Eng g II 10/16/06 Chapter 11 Models of Asset Dynamics () Random Walk A random process, z, is an additive process defined over times t 0, t 1,, t k, t k+1,, such that z( t )
More informationBinomial Distribution and Discrete Random Variables
3.1 3.3 Binomial Distribution and Discrete Random Variables Prof. Tesler Math 186 Winter 2017 Prof. Tesler 3.1 3.3 Binomial Distribution Math 186 / Winter 2017 1 / 16 Random variables A random variable
More informationSequences, Series, and Limits; the Economics of Finance
CHAPTER 3 Sequences, Series, and Limits; the Economics of Finance If you have done A-level maths you will have studied Sequences and Series in particular Arithmetic and Geometric ones) before; if not you
More informationSTAT 3090 Test 2 - Version B Fall Student s Printed Name: PLEASE READ DIRECTIONS!!!!
STAT 3090 Test 2 - Fall 2015 Student s Printed Name: Instructor: XID: Section #: Read each question very carefully. You are permitted to use a calculator on all portions of this exam. You are NOT allowed
More informationA x 1 : 26 = 0.16, A x+26 = 0.2, and A x : 26
1 of 16 1/4/2008 12:23 PM 1 1. Suppose that µ x =, 0 104 x x 104 and that the force of interest is δ = 0.04 for an insurance policy issued to a person aged 45. The insurance policy pays b t = e 0.04 t
More informationThe proof of Twin Primes Conjecture. Author: Ramón Ruiz Barcelona, Spain August 2014
The proof of Twin Primes Conjecture Author: Ramón Ruiz Barcelona, Spain Email: ramonruiz1742@gmail.com August 2014 Abstract. Twin Primes Conjecture statement: There are infinitely many primes p such that
More informationSOLUTION ECO 209Y MACROECONOMIC THEORY. Midterm Test #1. University of Toronto October 21, 2005 LAST NAME FIRST NAME STUDENT NUMBER INSTRUCTIONS:
Department of Economics Prof. Gustavo Indart University of Toronto October 21, 2005 SOLUTION ECO 209Y MACROECONOMIC THEORY Midterm Test #1 LAST NAME FIRST NAME STUDENT NUMBER INSTRUCTIONS: 1. The total
More informationID: ID: ID: ID: 1.3.1b. ID: 1.3.2a
1. An arithmetic sequence is a list of numbers in which consecutive numbers share a common difference. Each number after the first is calculated by adding the common difference to the preceding number.
More informationMultiple State Models
Multiple State Models Lecture: Weeks 6-7 Lecture: Weeks 6-7 (STT 456) Multiple State Models Spring 2015 - Valdez 1 / 42 Chapter summary Chapter summary Multiple state models (also called transition models)
More informationMath Winter 2014 Exam 1 January 30, PAGE 1 13 PAGE 2 11 PAGE 3 12 PAGE 4 14 Total 50
Name: Math 112 - Winter 2014 Exam 1 January 30, 2014 Section: Student ID Number: PAGE 1 13 PAGE 2 11 PAGE 3 12 PAGE 4 14 Total 50 After this cover page, there are 5 problems spanning 4 pages. Please make
More informationMath 118 Final Exam December 14, 2011
Math 118 Final Exam December 14, 2011 Name (please print): Signature: Student ID: Directions. Fill out your name, signature and student ID number on the lines above right now before starting the exam!
More informationexpl 1: Consider rolling two distinguishable, six-sided dice. Here is the sample space. Answer the questions that follow.
General Education Statistics Class Notes Conditional Probability (Section 5.4) What is the probability you get a sum of 5 on two dice? Now assume one die is a 4. Does that affect the probability the sum
More informationFINAL REVIEW W/ANSWERS
FINAL REVIEW W/ANSWERS ( 03/15/08 - Sharon Coates) Concepts to review before answering the questions: A population consists of the entire group of people or objects of interest to an investigator, while
More informationMATH Intuitive Calculus Spring 2011 Circle one: 8:50 5:30 Ms. Kracht. Name: Score: /100. EXAM 2: Version A NO CALCULATORS.
MATH 11012 Intuitive Calculus Spring 2011 Circle one: 8:50 5:30 Ms Kracht Name: Score: /100 110 pts available) EXAM 2: Version A NO CALCULATORS Multiple Choice: 10 questions at 3 points each Circle the
More informationEligibility: own or operate Base Acres. No trigger except owning /operating Base Acres.
AAE 320 Spring 2013 Final Exam Name: KEY 1) (20 pts. total, 2 pts. each) True or False? Mark your answer. a) T F Wisconsin s vegetable processing industry (green beans, sweet corn, potatoes) may be important
More informationErrata for Actuarial Mathematics for Life Contingent Risks
Errata for Actuarial Mathematics for Life Contingent Risks David C M Dickson, Mary R Hardy, Howard R Waters Note: These errata refer to the first printing of Actuarial Mathematics for Life Contingent Risks.
More informationRelations between Prices, Dividends and Returns. Present Value Relations (Ch7inCampbell et al.) Thesimplereturn:
Present Value Relations (Ch7inCampbell et al.) Consider asset prices instead of returns. Predictability of stock returns at long horizons: There is weak evidence of predictability when the return history
More information