SOCIETY OF ACTUARIES. EXAM MLC Models for Life Contingencies EXAM MLC SAMPLE SOLUTIONS. Copyright 2016 by the Society of Actuaries

Size: px
Start display at page:

Download "SOCIETY OF ACTUARIES. EXAM MLC Models for Life Contingencies EXAM MLC SAMPLE SOLUTIONS. Copyright 2016 by the Society of Actuaries"

Transcription

1 SOCIETY OF ACTUARIES EXAM MLC Models for Life Contingencies EXAM MLC SAMPLE SOLUTIONS Copyright 6 by the Society of Actuaries The solutions in this study note were previously presented in study note MLC-9-8 and MLC-9-. They have been edited for use under the 4 learning objectives and tetbook. Most solutions are mathematically the same as those in MLC-9-. Solutions whose wording has changed are identified with a * before the question number. The only question which has changed mathematically is 3. Questions 3-3 are new. Some of the questions are taken from past SOA eaminations. No questions from published eams after 5 are included ecept 3-33, which come from eams of or 3. Recent MLC eams are available at The average time allotted per multiple choice question will be shorter beginning with the Spring 4 eamination. Some of the questions here would be too long for the new format. However, the calculations, principles, and concepts they use are still covered by the learning objectives. They could appear in shorter multiple choice questions, perhaps with intermediate results given, or in written answer questions. Some of the questions here would still be appropriate as multiple choice questions in the new format. The weight of topics in these sample questions is not representative of the weight of topics on the eam. The syllabus indicates the eam weights by topic. September 6 changes: Questions 39-3 were added. MLC-9-6

2 Question # Answer: E q p p 3:34 3:34 3 3:34 p p p p :34 3:34 p p p p :34 3 3:34 ( )( ) ( )( ) ( )( ) (.7)(.7).54 (.)(.3).6 (.54)(.6) q :34.44 Alternatively, q q + q q 3: : 34 p q + p q p p : 34 3: 36 b g (.9)(.8)(.3) + (.5)(.4)(.7) (.9)(.8)(.5)(.4) [-(.7)(.3)] (.79).44 Alternatively, q q q q q 3: ( 3 p3 )( 3 p34 ) ( p3 )( p34 ) (.54)(.6) (.7)(.).44 (see first solution for p 3, p 34, 3 p 3, 3 p 34 ) MLC-9-6

3 Question # Answer: E A A + : A.4t.6t.4.6.5t.7t e e (.6) dt + e e e e (.7) dt.t.t.6 e dt + e (.7) e dt.6 + (.7).t.t e e e e + e ( ) Because this is a timed eam, many candidates will know common results for constant force and constant interest without integration. ( E ) For eample A : µ + δ E ( µ + δ) e A µ µ µ + δ With those relationships, the solution becomes A A E : A (.6+.4) (.6+.4).7 ( e ) + e (.6)( e ) e MLC-9-6

4 Question #3 Answer: D t.6 t.8 t.5 t E[ Z ] b tv t p µ + t dt e e e dt.7t 5 e 7 7 t ( ).t.6t.5t.9t E Z b tv t pµ + tdt e e e dt e dt.9t 5 e 9 9 [ ] Var Z Question #4 Answer: C Let ns nonsmoker and s smoker k b g ns q + k b g ns p + k b g s q + k ( s) p + k ( ns) ( ns) ( ns) ( ns) A v q + v p q + : ( ) ( s) ( s) ( s) ( s) A v q : + v p q + (.) ( ) : A weighted average (.75)(.43) + (.5)(.7).73 MLC-9-6 3

5 Question #5 Answer: B t ( τ ) ( ) ( ) ( 3) µ µ µ µ ( τ ) p e.45t δ t ( τ ) ( ) APV Benefits e,, p µ dt + + t ( ) ( ) e δ τ 5, p dt ( ) ( 3) e δτ τ, p dt ( ) µ t µ t t,,.645t 5,.645t 5,.645t,, e dt + e dt e dt 5, +, *Question #6 Answer: B 4: 4: EPV Benefits A + E vq k k k k EPV Premiums π a + E vq 4 4+ k 4 4+ k Net premiums Equivalence principle + 4: k 4 4+ k π + 4: k 4 4+ k k A E vq a E vq 4: π A / a 4: ( )( ) ( )( ) While this solution above recognized that π P and was structured to take 4: advantage of that, it wasn t necessary, nor would it save much time. Instead, you could do: MLC-9-6 4

6 EPV Benefits A EPV Premiums π a + E E vq Question #7 Answer: C 4: 4: 4 k 6 6+ k k π a + E A 4 6 ( )( ) ( )( ) π π π π ( ) ( ) ln.6 A7 δ A i.6 A7.547 a d.6/.6.97 a 69 + vp69a 7 + ( ) ( ) a a α ( ) β( ) ( )( ) ( m) ( m ) Note that the approimation a a works well (is closest to the eact m answer, only off by less than.). Since m, this estimate becomes Question #8 - Removed Question #9 - Removed MLC-9-6 5

7 Question # Answer: E d.5 v.95 At issue ( ) ( ) ( ) ( ) 49 k+ 4 k k A v q. v v.v v / d.3576 and a 4 A4 / d.3576 / A so P4 7.3 a Revised Revised ( 4 ) ( )( ) E LK A P a where Revised ( ) ( ) ( ) ( ) 4 Revised k+ Revised 5 k 5 k 5 5 Revised a 5 A5 d A v q.4 v v.4v v / d.5498 and /.5498 / *Question # Answer: E Let NS denote non-smokers and S denote smokers. The shortest solution is based on the conditional variance formula ( ) ( ) Var ( X) E Var ( XY) + Var( E XY ) Let Y if smoker; Y if non-smoker S S A E( a Y T ) a δ Similarly E( a Y ) 7.4 T. E E a Y E E a Prob Y + E E a Prob Y ( ( )) ( ) ( ) ( ) ( ( )) ( ) T T T ( 7.4)(.7) ( 5.56)(.3) MLC-9-6 6

8 ( ( )) ( 7.4 )(.7 ) ( 5.56 )(.3 T ) E E a Y ( ( T )) ( ) Var E a Y ( Var ) ( 8.53 )(.7 ) ( 8.88 )(.3 T ) E a Y + ( ) 8.6 Var a T Alternatively, here is a solution based on Var( Y) E Y E Y, a formula for the variance of any random variable. This can be ( ) ( ) transformed into E( Y ) Var ( Y) E( Y) form (( ) NS ) Var ( NS ) + ( NS ) T T T E a a E a ( ) ( ) MLC which we will use in its conditional Var a E T a E a T T E a E a S Prob S E a NS Prob NS T + T T S NS.3a +.7a [ ] [ ] S NS ( A ) ( A ) (.444) +.7(.86) (.3)( 5.56) (.7)( 7.4) ( ) S Prob[ S] + NS Prob[ NS T T T ].3( Var ( a S) + ( E a S T T ) +.7( Var ( a NS) + E( a NS T T ) ) E a E a E a ( ) ( ) ( ) Var a T

9 Alternatively, here is a solution based on Var ( a ) T T v Var δ δ T ( v ) ( A) MLC a T v δ T v Var since Var + constant Var δ ( X ) ( X) Var δ since Var constant constant Var A δ ( X) ( X) A a A T This could be transformed into δ Var ( ) NS S and A A. T A E v A Var T ( ) E v ( ) T E v NS Prob NS + S Prob S ( a ) ( A ) ( ) NS δ Var NS + Prob NS T ( a ) ( A ) ( ) S + δ Var S + Prob S T ( )( ) ( )( ) (.6683)(.7) (.853)(.3).38 T E v T ( ) E v ( ) T E vns Prob NS S + Prob S + (.86)(.7) (.444)(.3).3334 ( a ) T A δ ( A ) T +, which we will use to get

10 Question # - Removed Question #3 Answer: D Let NS denote non-smokers, S denote smokers. ( T < t) ( T < t ) ( ) + ( T < t ) ( ) Prob Prob NS Prob NS P rob S P rob S.t.t ( e ) ( e ) t.t.7e.3e.t.t S ( t).3e +.7e Want ˆt such that.75 S( tˆ) or.5 S( tˆ) ( ).tˆ.tˆ.tˆ.tˆ.5.3e +.7e.3 e +.7e Substitute: let e.t ˆ This is quadratic, so ( )( ) ( ).7 ± e.347.tˆ ˆ.347 so t.56 MLC-9-6 9

11 *Question #4 Answer: A At a constant force of mortality, the net premium equals the force of mortality and so µ.3. µ.3 A. δ + µ δ +.3 δ.6 ( L) ( A) ( ).6 ( ) A. 3 ( δ a ).9 Var. where µ.3 A a µ + δ.9 3 µ + δ.9 Question #5 - Removed *Question #6 Answer: A P A a V a.454 ( V + 5 P4 )( + i) 5q6 V P6 ( (5)(.89)).6 5(.376) a [Note: For this insurance, V V 4 because retrospectively, this is identical to whole life] Though it would have taken much longer, you can do this as a prospective reserve. The prospective solution is included for educational purposes, not to suggest it would be suitable under eam time constraints. P 4.89 as above A + 4 E A P + 5P E a + π E E a where 4 4 6: : A A 6:5 6 5 E6 A MLC-9-6

12 a a 4: 4 E4 a 6.76 a a E a : ( ) ( )( )( ) (.89)(.76) ( 5)(.89)(.744)( 4.347) π (.744)(.68756)( ) π Having struggled to solve for π, you could calculate V prospectively then (as above) calculate V recursively. V 4A + A 6:5 6 5P4 a π 6:5 5 E6 a 65 ( 4)(.6674) ( 5)(.89)( 4.347) (.3)(.68756)( ) (minor rounding difference from V ) Or we can continue to V prospectively 4 V 5A + 6:4 4 E6 A65 5P4 a π 6:4 4 E6 a where E v ( ) 4 6 l 7,533, l 8,75, :4 A A6 4 E6 A a a E a : ( )( ) ( )( )( ) ( 5)(.89)( 3.595).3(.73898)( ) V Finally. A moral victory. Under eam conditions since prospective net premium reserves must equal retrospective net premium reserves, calculate whichever is simpler. MLC-9-6

13 Question #7 Answer: C ( ) ( ) Var Z A A 4 4 A A.8 A ( vq + vp A ) ( ) A (.8/ /.5 A ) 4 4 A.65 4 ( ) ( ) A4 A4.433 A4 v q4 + v p4 A4 A4 A4 (.8/ /.5 ) A ( Z ) Var Question #8 - Removed Question #9 - Removed MLC-9-6

14 *Question # Answer: D ( τ ) ( ) ( ) + µ µ µ + t + t ( τ ) ( ) µ + µ. + t + t ( ) ( τ ) µ.8µ + t + t ' ( ) '. ( ).k t dt q p e e 3.4 ( ) ( ) k 3 ln.4 /..4 k.63 t + t t + t ( ) ( τ) ( ) ( τ) ( τ) q p µ dt.8 p µ dt ( ) ( τ) ( τ).8 q.8 p ( ) p e ( τ ) τ µ + t dt kt dt e 8k 3 e ( 8) (.63) e ( ) q.8(.9538).644 k MLC-9-6 3

15 Question # Answer: A k min(,3) k f(k) f ( k) ( min( k,3) ) ( ) ( ) f k min k,3. (.9)(.) (.7)(.3) E[ min( K,3) ].4 E{ min ( K,3) } 5.58 Var [ min( K,3)] Note that E[ min( K,3)] is the temporary curtate life epectancy, age. e if the life is :3 Question # Answer: B (.) ( 6) (.8) ( 6) (6) e + e S.5354 (.)( 6) (.8)( 6) (6) e + e S q MLC-9-6 4

16 *Question #3 Answer: D Let q 64 for Michel equal the standard q 64 plus c. We need to solve for c. Recursion formula for a standard insurance: ( )(.3) ( ) V V + P q V Recursion formula for Michel s insurance ( )( ) ( ) V V + P +..3 q + c ( V ) The values of 9 V 45 and V 45 are the same in the two equations because we are told Michel s net premium reserves are the same as for a standard insurance. Subtract the second equation from the first to get: ( ) ( ) ( V ).3 (.) + c( V ) (.3). c MLC-9-6 5

17 Question #4 Answer: B K is the curtate future lifetime for one insured. L is the loss random variable for one insurance. L AGG is the aggregate loss random variables for the individual insurances. σ AGG is the standard deviation of L AGG. M is the number of policies. K+ π K+ L v π a v π K + + d d ( A ) E[ L] ( A πa ) A π d π.5 Var[ L] + ( A A) + (.9476 (.495) ).6834 d.5664 [ AGG ] [ ] [ ] [ ] E L ME L.868M Var L M Var L M(.6834) σ.6833 M AGG AGG [ ] ( ) L E L E L Pr[ LAGG > ] > σ AGG σ.868m Pr N(,) > M (.6833).868 M M 6.97 AGG AGG AGG minimum number needed 7 AGG MLC-9-6 6

18 Question #5 Answer: D Annuity benefit: Death benefit: New benefit: Z K + v, for K,,,... d K Z Bv + for K,,,... K + v K + Z Z+ Z, + Bv d,, K + B v d d + K + ( ), Var( Z) B Var v d, Var ( Z) if B 5,..8 In the first formula for Var ( Z ), we used the formula, valid for any constants a and b and random variable X, Var ( a + bx ) b Var ( X ) Question #6 Answer: A µ + t: y+ t µ + t+ µ y+ t A µ / µ + δ.574 ( ) + t + t + / ( + ).4 + : + ( + : + ) ( + t: y+ t ) A µ µ + δ y y t y t A µ / µ + δ.6667 y ty t ty t a / µ + δ y A A + A A y y y Premium.3476/ MLC-9-6 7

19 *Question #7 Answer: B P A / a.63 / P A / a.7636/ a45 a E 3 LK4 3 A45 P4 P4 a ( )( ) Many similar formulas would work equally well. One possibility would be 3V4 + ( P4 P4 ), because prospectively after duration 3, this differs from the normal net premium reserve in that in the net year you collect P 4 instead of P 4. *Question #8 Answer: E ( T ) ( ) E min, e w 4 4 ( ) tf t dt 54 w 4 w ( ) ( ) 3 t f t dt + 4f t dt 4 w w ( ) t f ( t) dt 4 (.6) t f t dt + 4 w 86 ( t ) ( ) S ( ) 4 ( ) tf t dt ( ) 4 f t dt MLC-9-6 8

20 *Question #9 Answer: B d.5 v.95 Step Determine p from Kevin s work: vp vq v p( p+ q+ ) ( ) p ( )( p) ( ) p( ) p ( p ) p p 34/38.9 Step Calculate P :, as Kira did: P.95.9 : + [ ] P :.855 ( )( ) ( )( ) The first line of Kira s solution is that the epected present value of Kevin s net premiums is equal to the epected present value of Kira s, since each must equal the epected present value of benefits. The epected present value of benefits would also have been easy to calculate as ( )( )( ) ( )( )( ) Question #3 Answer: E Because no premiums are paid after year for (), V A + ( V + )( + i) b q One of the recursive reserve formulas is h+ V p+ h ( 3,535 +,78) (.5),. V 35, ( 35, ) (.5),. V 36,657.3 A h π h h+ + h MLC-9-6 9

21 Question #3 Answer: B The survival function is () t S t ω : Then, ω t e and t p ω 5 45 e e t 4 t e 45:65 t p 45:65 dt dt 6 4 F HG t t t 3 3 I K J e45: 65 e45+ e65 e45: In the integral for e 45:65, the upper limit is 4 since 65 (and thus the joint status also) can survive a maimum of 4 years. Question #3 Answer: E µ S (4) / S (4) 4 d 4 e / 4 e / i 4 e / 4 e / 4 e e MLC-9-6

22 Question # 33 Answer: A q b g i q b g b g τ L NM τ µ q µ p b g i bτg ln p ln big bτg O P Q q P b g τ L NM b g b g b g b g τ 3 µ µ + µ + µ b g τ b g µ τ q e e.7769 b g q. 5 µ big ln e µ b g ln e - τ 5. b. 7769gµ b g b5. gb. 7769g µ b τ g O QP Question # 34 Answer: D 6 3 A v p q B B B + pay at end live then die of year 3 years in year v p q pay at end live then die of year 4 3 years in year ( ) ( ) ( ) ( ).3 (.3) MLC-9-6 ( ) ( ) ( ) ( )

23 Question # 35 Answer: B a a + E a + a 5 : 5 :5 5 5 b g. 7 5 e b g. 7 5 E e. 75, where. 7 µ + δ for t < 5 a , where. 8 µ + δ for t 5. 8 b gb g a Question #36 Answer: D ( τ ) ( ) ( ) p p' p' ( ) ( ) ( ) ln p' ( ) ( τ ) q q since UDD in double decrement table ( τ ) ln ( p ) ln (.8).44 ln (.56).693 ( ) ( ).3q.3q+..53 ( ).q τ To elaborate on the last step: ( ) q.3 +. Number dying from cause between +. and +.4 Number alive at +. Since UDD in double decrement, ( τ ) ( ) ( l ).3 q ( τ) ( τ) l.q ( ) MLC-9-6

24 *Question #37 Answer: E The net premium is δ a T o L v ( ) a a T T T T v v δ T v + +. δ δ.4693 Var L Var v +.(4.73).473 δ T ( o ) ( ) Question #38 Answer: D T T Actuarial present value (APV) prem 8( + (.7 +.) + (.5 +.3)),96 APV claim 5( ) + 3( ) 8 Difference 6 Question # 39 - Removed MLC-9-6 3

25 Question # 4 Answer: D Use Mod to designate values unique to this insured. b g b g b g b g b g a A / d /. 6 / P A / a / d i b gb g Mod Mod Mod A6 v q6 + p6 A Mod Mod d 6 i b g a A / d. 444 /. 6 / Mod Mod Mod E L A P a d i b g *Question # 4 Answer: D The prospective reserve at age 6 per of insurance is A 6, since there will be no future premiums. Equating that to the retrospective reserve per of coverage, we have: A P s 4: Mod P5 s k 5: 4 E A 6 5 A a a A 4 4: Mod 5: : + P5 a E E E E P Mod b gb g P Mod P Mod 5 MLC-9-6 4

26 Alternatively, you could equate the retrospective and prospective reserves at age 5. Your equation would be: A a A Mod 4 4: : A5 P5 a 5: a E E where A 4 : 4 4 A4 E4 A5 4 4 b gb g d ib g P Mod bgb4437 P Mod. g Alternatively, you could set the epected present value of benefits at age 4 to the epected present value of net premiums. The change at age 5 did not change the benefits, only the pattern of paying for them. Mod 4 4 4: 5 4 5: A P a + P E a b g d ib gb g F H G I K J + P Mod bgb 7748 P Mod. g Question # 4 Answer: A b g b g b g τ d q l 4 d b g b g bg q l b g d b g db g. τ p b g Note: The UDD assumption was not critical ecept to have all deaths during the year so that - 8 lives are subject to decrement. MLC-9-6 5

27 Question #43 Answer: D Use age subscripts for years completed in program. E.g., p applies to a person newly hired ( age ). Let decrement fail, resign, 3 other. Then q b g, q b g, q b g q bg 5 q, b g 3, q b g 8 q b3g 3 q 3, b g 9, q b g 4 bτg b gb gb g bτg b gb gb g bτg b gb gb g b τ g bτg τ b g τ τ log / log This gives p / 4 / 5 / 54. p / 5 / 3 / p / 3 / 8 / b g b g So,. 54 8, and b g b g b g b g q p p q b g c h b g b. 45/ 86. gb56. g log 3 / log q. 76 bg b g b τ g d l q b gb g Question #44 - Removed MLC-9-6 6

28 Question #45 Answer: E ω For the given life table function: e k q ω ω ω k+ k+ k k b ω k b A v q v a ω A ω A a d e5 5 ω for typical annuitants ey 5 y Assumed age 7 A a a ba b 5, 97 7 Question #46 Answer: B 3: d 3 id 4 ib g E3 E4 i E p p v p v p v + i b gb gb g b gb gb g The above is only one of many possible ways to evaluate p 3 p 4 v, all of which should give.564 a a E a 3: 4: 3: 4 3: 4 3+ : 4+ b g b gb g a 3: a 4: 5 b3. 68g b. 564gb4784. g MLC-9-6 7

29 *Question #47 Answer: A Equivalence Principle, where π is annual net premium, gives A + ( IA) π a π π d A a IA ( ) b g i We obtained a 35 from a 35 A d Question #48 - Removed Question #49 Answer: C µ y µ + µ y 4. µ A Ay µ δ µ y Ay ay y µ δ µ y + δ. and Ay A + Ay Ay b5833. g P. 87 a a 563. y y 563. MLC-9-6 8

30 Question #5 Answer: E ( )( ) ( ) V + P + i q V V 4 b gb g b g b + ig b. gb. g i ( )( ) ( ) V + P + i q V V 4 b gb g 4b g q q Question #5 Answer: E P A / a b 6 6 6g b 6 6g b 6 6 6g b 6 6g v q + p A / + p v a q + p A / 6. + p a c b gb gh c b gb gh / Question #5 - Removed MLC-9-6 9

31 Question #53 Answer: E g ln(.96).48 µ + ty : + t + ty : + t h ln(.97).346 µ ( µ µ µ ) p p ep + + dt e (.68) 5 y 5 y ty : t ty : t ty : t Question #54 Answer: B Transform these scenarios into a four-state Markov chain, as shown below. State from year t 3 to year t from year t to year t Probability that year t will decrease from year t - Decrease (D) Decrease (I).8 Increase Decrease.6 Decrease Increase.75 3 Increase Increase The transition probability matri is Note for eample that the value of. in the first row is a transition from DD to DI, that is, the probability of an increase in year three after two successive years of decrease. The requested probability is that of starting in state and then being in either state or after two years. That requires the first row of the square of the transition probability matri. It can be obtained by multiplying the first row of the matri by each column. The result is [ ]. The two required probabilities are.64 and.5 for a total of.79. The last two values in the vector do not need to be calculated, but doing so provides a check (in that the four values must sum to one). Alternatively, the required probabilities are for the successive values DDID and DDDD. The first case is transitions from state to and then to for a MLC-9-6 3

32 probability of.(.75).5. The second case is transitions from to and then to for a probability of.8(.8).64 for a total of.79. MLC-9-6 3

33 Question #55 Answer: B l ω 5 p l / l (6 t) / 6 t t 45 Let K be the curtate future lifetime of (45). Then the sum of the payments is if K 9 and is K 9 if K. a 45 b 6 K F 6 KI HG 6 K J g b4gb4g b6g Hence, ProbcK 9 > 366. h ProbcK > h b g b g Prob K 33 since K is an integer Prob T 33 l78 33p45 l MLC-9-6 3

34 Question #56 Answer: C µ A. 5 µ. 4 µ + δ µ A µ + δ diai z s z s E A ds d. s e z F e b. 4g HG. 4 A ds ib. 4g ds. s. I. 4 4 KJ. Alternatively, using a more fundamental formula but requiring more difficult integration. c h z z b g b δ t t. 4t. 6t g z. t. 4 t e dt IA t p µ t e dt t e. 4 e dt (integration by parts, not shown) F t HG I. t. 4 K J e MLC

35 Question #57 Answer: E Subscripts A and B here distinguish between the tools and do not represent ages. ο We have to find e AB z t e ο F t A dt t 5 5 HG I K J F I 7 HG K J F ti t dt οhg K JF I HG K J z 7 7F + HG t e ο t z7 B dt t 7 4 e ο AB z t t t t t t t e ο AB e ο A+ e ο B e ο AB I KJ dt Question #58 Answer: A ( τ ) µ t t p b g. 4 τ e t Epected present value (EPV) EPV for cause + EPV for cause. z5 z. 4 t. 4 t 5. 4 t. 4 t b g b g e e. dt + 5, e e. 4 dt ( ) 5.44t.44( 5) ( (.) + 5, (.4) ) e dt e MLC

36 Question #59 Answer: A R p q µ + + k dt µ + tdt k dt ( k ) ( t ) S p e since e e e So S. 75R p e. 75q k µ + tdt k dt k q e. 75 p k p q e. 75q. 75q L q k ln. 75q NM O QP e MLC

37 Question #6 Answer: C A 6 A 6 and.3693 d A6 A6.86 π π + d d Epected Loss on one policy is E L( π ), A6 π Variance on one policy is Var L( π ), + ( A6 A6 ) On the lives, E S,E L π d [ ] ( ) and Var[ S], Var L( π ) The π is such that E[ S] / Var[ S].36 since ( ) π π,, + A6 d d.36 π, + A6 A6 d Φ π π, + (.3693) d d.36 π, + (.86) d π d.479 π, + d π π d d π d π 5976 d 3379 MLC

38 Question #6 Answer: C ( π )( ) ( ) V V + + i + V V q 75.5π q 75 Similarly, V ( V + π ).5 q V V + π.5 q 76 ( ) 3 77 ( π π π) + ( q75 + q76 + q77 ) 3 3V q75 q76 q *.5.5 π ( ) ( ) ( ) * This equation is an algebraic manipulation of the three equations in three V, V, π. One method usually effective in problems where benefit unknowns ( ) stated amount plus reserve, is to multiply the V equation by.5, the V equation by.5, and add those two to the 3 V equation: in the result, you can cancel out the V, and V terms. Or you can substitute the V equation into the V equation, giving V in terms of π, and then substitute that into the 3 V equation. Question #6 Answer: D 8: z δ t 7 A e dt d i b g δ e. 6 since δ ln δ F 7 a + v : H G I 7 K J V 5, A 6643 a : 8: MLC

39 Question #63 Answer: D Let A and a be calculated with µ + t and δ. 6 * * Let A and a be the corresponding values with µ + t increased by.3 and δ decreased by.3 a a * A δ. 6 a t * ( µ + s+.3) ds.3t Proof: a e e dt * * t sds.3t.3t e µ + e e dt t µ + sds.6t e e dt a ] A. 3a. 3a b gb g MLC

40 Question #64 Answer: A bulb ages Year 3 # replaced The diagonals represent bulbs that don t burn out. E.g., of the initial,, (,) (-.) 9 reach year. (9) (-.3) 63 of those reach year. Replacement bulbs are new, so they start at age. At the end of year, that s (,) (.) At the end of, it s (9) (.3) + () (.) 7 + At the end of 3, it s (8) (.) + (9) (.3) + (63) (.5) Epected present value Question #65 Answer: E z z z 5 HG KJ z. 6. 6L. 5 d i d i e 5 : 5 t p 5 dt+ p t p dt t F. 4ds. 5t e dt + e z I e dt e e e NM O QP MLC

41 Question #66 Answer: C p e q 6 + je q 6 + jb q63gb q64gb q65g b. 89gb. 87gb. 85gb. 84gb. 83g Question # 67 Answer: E. 5 a µ + δ µ δ µ δ A A µ +. 5 µ δ µ µ + δ 3 e T j Var a A A δ S.D MLC-9-6 4

42 *Question # 68 Answer: D v. 9 d. A da b gb g 5A 5vq Net premium π a a+ 4 A b gb g b gb g a Net premium reserve at the end of year a a da V 5A π a b gb g b gb g b gb g Question #69 Answer: D v is the lowest premium to ensure a zero % chance of loss in year (The present value of the payment upon death is v, so you must collect at least v to avoid a loss should death occur). Thus v.95. E Z vq + v p q b g + b g d i + b g b g E Z v q + v p q b g d i c b gh b g Var Z E Z E Z MLC-9-6 4

43 Question #7 Answer: D Epected present value (EPV) of future benefits ( )/.6 + (.5.4)( ) / EPV of future premiums + ( ) (.99)( 5) 95.5 E LK /.6 5 Question #7 - Removed Question #7 Answer: A Let Z be the present value random variable for one life. Let S be the present value random variable for the lives. δ t µ t E( Z) e e µ dt E Z 5 µ e δ + µ.46 ( δ + µ )5 d i F µ I e b HG δ + µ KJ F H G I K J d i b g d i c b gh δ + µ e Var Z E Z E Z b g b g E S b g E Z 4. 6 b g Var S Var Z F F MLC g

44 Question #73 Answer: D Prob{only survives} -Prob{both survive}-prob{neither survives} b ge j b gb gb gb gb gb g b gb g p p p p Question # 74 - Removed Question #75 - Removed Question # 76 Answer: C This solution applies the equivalence principle to each life. Applying the equivalence principle to the life group just multiplies both sides of the first equation by, producing the same result for P. ( Prems) ( Benefits) + + EPV P EPV q v p q v Pp p v bgb. 338g bgb. 338gb. 366g Pb. 338gb. 366g + P P. 678 P 3.. (EPV above means Epected Present Value). 8. MLC

45 *Question #77 Answer: E Level net premiums can be split into two pieces: one piece to provide term insurance for n years; one to fund the reserve for those who survive. Then, P P + P V n : n : n And plug in to get. 9 P P : n : n. 85 b gb g Another approach is to think in terms of retrospective reserves. Here is one such solution: ( n : ) a ( P P n : ) V P P s n n : ( P P n : ) ( P P n : ) ( P n : ) n P n : E a n : n : a n : P /. 864 P : n e : n j b gb g MLC

46 Question #78 Answer: A b g δ ln ω δt A tpµ + te dt ω e ω a ω ω δt dt for the given mortality function From here, many formulas for the reserve could be used. One approach is: Since a A 5 A5.374 so a δ a A4 A4.333 so a δ.333 P( A4 ) reserve A5 P( A4 ) a (.33)(.83).75. Question #79 Answer: D ( ) Prob( S) A T T Prob NS T E v E v NS + E v S F Similarly,. 3 A I 7 HG K J. +.. F H Var a b g T I K A A δ F. 6 I HG K J MLC

47 Question #8 Answer: B q q + q q 8: : (.6) +..5 (.) (.6.).36 Using new p 8 value of (.3) +..5 (.) (.3.).68 Change Alternatively, p p8 p8.6. p p84 p84..3 p p8 + p84 8:84 p8 p84 since independent. +.3 (.)(.3).4 3 p 3 p8 + 3 p84 8:84 3 p8 3 p (.)(.3).64 q p p 8:84 8:84 3 8: Revised 3 p p :84 (.6)(.3).68 q :84 change Question #8 - Removed MLC

48 Question #8 Answer: A b g b g b g τ 5 p5 5p5 5 p5 F HG b gb 55 5 I K J e g b gb g Similarly 6 5 pbτg F I 5 e b. gb g HG 5 K J b gb bτg bτg bτg 5 5q5 5p5 p g. 57 Question #83 Answer: C Only decrement operates before t.7 b g 7q4 b 7gq b g 4 b 7gbg 7 since UDD..... Probability of reaching t.7 is Decrement operates only at t.7, eliminating.5 of those who reached.7 b g b gb g q MLC

49 Question #84 Answer: C e j π π π 8 vq8 v p q + p v A8 + + F F H G b g b g b7468. g πb. 756g b6754. g π. 839 I π HG 6 K J π π π Where p 3, 84, ,, 839 b gb g Or p I K J *Question #85 Answer: E At issue, epected present value (EPV) of benefits.4.4 ( )( ) t t t t t 65 µ t 65 µ 65+ t 65+ t t p65 µ 65+ tdt q65 b v p dt e e p dt EPV of premiums t.4t.t t πa65 π v p dt π e e dt π 6.667π.6 Net premium π / u V b + u v up67 µ udu πa67.4( + u).4u e e up67 µ udu (6)(6.667).8 e u p67 µ udu 83.9 q MLC

50 Question #86 Answer: B () a a + E : : A: () a : d (3) A A + A : : : + : + (4) A A E A :. 8 A A : 8. b gb g Now plug into (3): A : Now plug into ():. 43 a :. 5 / 5. b g 97. Now plug into (): a : Question #87 - Removed Question #88 Answer: B e 8.83 e p+ pe + p e+ 9.9 a + vp + v p +... : a + v+ v p +... a a vq : v(.9548).459 v.969 i.789 v MLC

51 Question #89 Answer: E One approach is to enumerate the possible paths ending in F and add the probabilities: FFFF. 3.8 FFGF.(.8)(.5).8 FGFF.8(.5)(.).8 FGHF.8(.5)(.75).3 The total is.468. An alternative is to use matri multiplication. The desired probability is the value in the upper left corner of the transition probability matri raised to the third power. Only the first row needs to be evaluated. The first row of the matri squared is [ ], obtained by multiplying the first row by each column, in turn. The first row of the matri cubed is obtained by multiplying the first row of the squared matri by each column. The result is [ ]. Note that only the first of the four calculations in necessary, though doing the other three and observing that the sum is provides a check. Either way, the required probability is.468 and the actuarial present value is v (.468) 5(.9) (.468) 7. Question #9 Removed MLC-9-6 5

52 Question #9 Answer: E M µ F 3 µ 6 ω 85 ω M t t p65 t p F 6 t 5 Let denote the male and y denote the female. e 5 mean for uniform distribution over, e e y y.5 ( ( )) mean for uniform distribution over (,5) ( ) t t dt 5 7 t t + dt t 7 t t e e e e y + y y MLC-9-6 5

53 *Question #9 Answer: B A A µ µ + δ 3 µ µ + δ 5 Let PA ( ) denote the net premium. c h P A Var L µ. 4 F P A b g c hi + H G K J e δ F I F + HG K J F HG H G I. 4 K J F H G 3I K J F H G 4 I K J 5 *Question #93 Answer: A 45 A A MLC I KJ j Let π be the net premium Let k V denote the net premium reserve at the end of year k. For any n, ( nv + π )( + i) ( q5+ n n+ V + p5+ n n+ V) n+ V V V + π + i Thus ( )( ) ( )( ) ( ( ) )( ) ( )( ) ( )( ) V V + π + i π + i + π + i π s V V + π + i πs + π + i π s 3 3 By induction (proof omitted) nv π s n For n 35, n V a 6 (epected present value of future benefits; there are no future premiums) a π s 6 35 a π s 6 35 For n, V π s a s 6 s 35

54 Alternatively, as above V + + i V ( n π )( ) n+ Write those equations, for n to n 34 : V + π + i V ( )( ) ( π )( ) ( π )( ) : V + + i V : V + + i V 3 ( π )( ) 34 : V + + i V Multiply equation k by ( ) 34 k + i and sum the results: ( V π)( i) ( V π)( i) ( V π)( i) ( V π)( i) ( ) ( ) ( ) ( ) V + i + V + i + V + i + + V + i + V For,,, 34, k the ( ) 35 k V i k + terms in both sides cancel, leaving ( ) 35 π ( ) 35 ( ) 34 ( ) V + i + + i + + i i 35V Since V π s V a 6 (see above for remainder of solution) MLC

55 *Question #94 Answer: B Note: The symbol µ + ty : + can be ambiguous. Here it means that both lives were t alive at ages and y and the last survivor status is intact at time t (that is, at least one of the two lives is alive). This meaning matches the wording of the question, which does not use the symbol. Then, tqy tpµ + t+ tq tpyµ y+ t µ + ty : + t q p + p q + p p For () (y) (5) t t y t t y t t y (.5q5 )( p5 ) q6 ( q )( p ) ( p ) (.95)(.9478)(.376)( ) ( )( )( ) ( ) µ : where p.5 5 q ( l + l ) ( 8,88,74 + 8,75, 43) p l 8,95,9 p.95 8,88, ,95,9 ( 5.5) ( ) p µ + p q since UDD Alternatively, ( t ) p5 p5 p t ( + t) p5:5 ( p5 ) ( t p6 ) ( + t) p p 5:5 5 t p6 ( p5 ) ( t p6 ) p5 ( tq6 ) ( p5 ) ( tq6 ) Derivative p q + ( p ) ( tq ) q since UDD Derivative at + t.5 is ( )( ) ( ) ( ( )( ))( ) p p 5:5 ( p ) (.9848) (.9848) dp (.3) µ (for any sort of lifetime) dt.3 p.996 MLC

56 Question #95 Answer: D ( τ ) ( ) ( ) µ µ µ + t + t + t t ( τ) ( ) t ( τ) ( ) t ( τ) ( τ) 5, 5, t µ + t + t µ + t + t µ + t.t.3t.t.3t.t.3t P P v p dt v p dt v p dt P P e e.9dt + 5, e e.dt + 5, e e.3dt (.4) (.4) (.4) e e e P P,94 *Question #96 Answer: B e p + p + 3p Annuity v p + v p k 3 v b 4. 3 k k 3 g p k 3 k v k p 3 3 F H G I v be g K J. Let π net premium. e π +. 99v +. 98v 87 j. 858π 87 π 84 b g MLC

57 Question #97 Answer: B 3 : 3 b g3 : b ge 3j π a A + P IA + π A A3 π a IA A b g 3 : 3 : 3 b g b g Question #98 Answer: E For the general survival function ( ) t S, t t ω, ω z ω 3 t e 3 F I dt 3 K J ω L M HG O gq P ω 3 t t N bω 3 ω 3 3 Prior to medical breakthrough ω e 3 35 After medical breakthrough e 3 e ω so 3 e 3 39 ω 8 Question #99 Answer: A.5 L, v 4a 77,79 MLC

58 Question # Answer: D ( accid ) µ. ( total) µ. ( other) µ...9 Epected present value.5 t 5,. t(.9) Question # Removed e e dt ( ).4t.5t.t + 5, e e e. dt.9. 5, +,.6. Question # Answer: D + ( V + P )( ) q ( ) V A + p so a ( )(.6).54( ) (.6 /.6) A P a MLC

59 Question #3 Answer: B k ( τ ) k ( τ k ) ( ) µ + tdt µ + tdt p e e k ( ) µ + tdt e ( p ) k k p µ p 6 p 6 where is from Illustrative Life Table, since follows I.L.T. 6, 66, , 88, 74 6, 396, , 88, 74 b g b g b g τ τ τ q6 p6 p6 b p6g b p6g from I.L.T ( ) Question #4 Answer: C P s d a, where s can stand for any of the statuses under consideration. s a a a s y P + d s a y a + a a + a y y y a y P y MLC

60 Question #5 Answer: A bτ g z bµ +. 4gt d e µ +. 4 dt b e µ +. 4 e 48 g µ. 4 e µ +. 4 ln µ. 9 bg z 4. 49t 3 3 b b g b gj d e. 9 dt e b b gb g b gb g e e g g j Question #6 Answer: B This is a graph of l µ. µ would be increasing in the interval b8, g. The graphs of l p, l and l would be decreasing everywhere. Question #7 Answer: B Variance v p q Epected value v p q v p v q.65 q.357 v 5 5 p Since µ is constant 5 ( p ) q 5 p 5 ( ( p) ) q.5 MLC

61 *Question #8 Answer: E ( ) ( ) ( + i V V ) q + I I + p+ p+ ( ) ( ) ( + i V V ) q + II II II π + p+ p+ ( ) ( ) ( ) ( ) I II I II II + i V V V V π ( ) p + (.6) Question #9 Answer: A k + EPV ( s benefits) v bk + k p q k + k 3 b g b gb g b gb gb g 3v. + 35v v , 89 *Question # Answer: E π denotes the net premium V EPV 9 future benefits - EPV future premiums. 6 π π bv + πgb8. g bq65gbg V p65 b gb8. g b. gbg. 5.8 MLC-9-6 6

62 Question # Answer: A Epected present value Benefits (.8) (.8)(.9),39.75 P P(.3955) P (.8)(.)(,) (.8)(.9)(.97)( 9,) +.6.6, Question # Answer: A 8 7a3 + 5a4 a3: 4 8 b7gbg + b5gbg a3: 4 a3: 4 8 a a a4 a3 4 + : : a 4 3: 4 Question #3 Answer: B.5t e t a a f () t dt te dt t.5 Γ() z b L NM b g L F H G I K J 5NM. 5. te t te. 5. 5t F HG O QP i dt t t t + e I K J. 5t e 5 O QP, , 88 MLC-9-6 6

63 Question #4 Answer: C Event Prob Present Value.5 5 ( ) ( )( ) ( )( ) / / / E[ X ] (.5)( 5) + (.95)( 33.87) + (.855)( 56.) 5.95 ( )( ) ( )( ) ( )( ) + + E X [ ] ( ) ( ) ( ) Var X E X E X Question #5 Answer: B Let K be the curtate future lifetime of ( + k) K + k L v P :3 a K + When (as given in the problem), () dies in the second year from issue, the curtate + is, so future lifetime of ( ) L v P a : The premium came from A :3 P :3 a A P :3 da :3 :3 da :3 79. :3 a a :3 :3 d MLC-9-6 6

64 Question #6 Answer: D Let M the force of mortality of an individual drawn at random; and T future lifetime of the individual. n Pr T E Pr T M z Pr T M µ f Mbµ g dµ z z µ µ e t dt d µ z µ + + e du e e s d i d i d i Question #7 Answer: E For this model: () / 6 () µ 4+ t ; µ 4+ / 4.5 t/ 6 6 t () / 4 () µ 4+ t ; µ 4+ /.5 t/ 4 4 t ( τ ) µ MLC

65 *Question #8 Answer: D Let π net premium Epected present value of benefits b. 3gb, gv + b. 97gb. 6gb5, gv + b. 97gb. 94gb. 9gb, gv , 33. Epected present value of net premiums a π : 3 b gb g +. 97v v. 766π, 33. π ,. 3 V π b gb g b gb g Initial reserve, year V + π Question #9 Answer: A Let π denote the premium. L b v π a + i v π a T T π a T T b g E L π a π a a T δ a d v L π a T a δ a T T v b δ ag v A δ a A T T T T i MLC

66 Question # Answer: D (, ) (,.9) (.5,.8775) (,.885) tp t p (. ). 9 p b gb g since uniform,. 5 p / b e:.5 area between t and t () + (.5) g MLC

67 Alternatively,.5.5 :.5 t t + t e p dt p dt p p dt.5 (. t) dt +.9 (.5 t) dt.5.t.5t t +.9 t Question # Answer: A, A63b. g 533 A Ab + ig q A + p b. 467gb5. g. 788 A b. 483gb5. g. 95 A Single gross premium at 65 (.) (,) (.4955) 555 b g i i MLC

68 Question #A Answer: C Because your original survival function for () was correct, you must have 3 µ.6 µ + µ µ +. µ + t + t: y+ t + t: y+ t + t: y+ t + ty : + t.4 Similarly, for (y) 3 µ.6 µ + µ µ +. µ y+ t + t: y+ t + t: y+ t + t: y+ t + ty : + t.4 The first-to-die insurance pays as soon as State is left, regardless of which state is net. The force of transition from State is 3 µ + ty : + t+ µ + ty : + t+ µ + ty : + t With a constant force of transition, the epected present value is δt 3.5t.t. e ( tpy µ + ty : + t+ µ + ty : + t+ µ + ty : + t) dt e e (.) dt.5 MLC

69 Question #B Answer: E Because () is to have a constant force of.6 regardless of (y) s status (and viceversa) it must be that µ µ t y+ t There are three mutually eclusive ways in which both will be dead by the end of year 3: : Transition from State directly to State 3 within 3 years. The probability of this is t..t.3 t py µ + t: y+ tdt e.dt e.( e ).58. : Transition from State to State and then to State 3 all within 3 years. The probability of this is t.6(3 t) tpyµ + t: y+ t 3 tp+ tdt e.4( e ) dt t.8.4t.4.t.4e.4t.4 e e e e e ( e ) e ( e ).9 3: Transition from State to State and then to State 3 all within 3 years. By symmetry, this probability is.9. The answer is then.58 + (.9).7. MLC

70 Question #C Answer: D Because the original survival function continues to hold for the individual lives, with a constant force of mortality of.6 and a constant force of interest of.5, the epected present values of the individual insurances are.6 A Ay.54545, Then, A A + A A y y y Alternatively, the answer can be obtained be using the three mutually eclusive outcomes used in the solution to Question B. :. e p + + dt e e.dt t 3.5t.t t y µ t: y t.5t.5r 3 t yµ + t: y+ t r + t: y+ tµ ++ t r: y++ t r.5t.t.5r.6r e e e e drdt e p e p drdt and 3: The solution is (.4545).443. The fact that the double integral factors into two components is due to the memoryless property of the eponential transition distributions. MLC

71 Question #3 Answer: B q q + q q 5 35: : 45 p q + p q p q b g b g b gb g b gb g b gb g b gb g : 45 4: 5 p q + p q p p p p q + p q p p p p : Alternatively, ( )( ) ( )( ) p p p p p p q p p 5 35: : :45 ( 5 p p45 5 p35:45 ) ( 6 p p45 6 p35:45 ) ( 5 p p p35 5 p45 ) ( 6 p p45 6 p35 6 p45 ) ( ) ( ) Question #4 Removed Question #5 - Removed MLC-9-6 7

72 Question #6 Answer: E Let E Y Var Y E S Var Y present value random variable for payments on one life S Y present value random variable for all payments a d A A 4 4 d / E Y 4, S i d ib g Var Y 7, 555 Standard deviation S 7, By normal approimation, need E [S] Standard deviations 4, (.645) (65.6) 5,54 *Question #7 Answer: B 5A3 4 A 3: Initial net premium 5a 4a 3: 35 3: 5b g 5b4. 835g 4b959. g Where A A A : e... 3: 3: j and A3 :. 337 a : d F. 6 H G I 6. K J e Comment: the numerator could equally well have been calculated as A + 4 E A.48 + (4) (.9374) (.495) j MLC-9-6 7

73 Question #8 Answer: B p p. 75. q y. 95 p b gb g b gb g. 75 y. 75 y b. 75 pgd. 75 pyi -b.965gb. 95g 97. since independent *Question #9 Answer: D Let G be the gross premium. Epected present value (EPV) of benefits,a 35 EPV of premiums Ga 35 EPV of epenses.g+ 5 + (.5)( ) a 35 Equivalence principle: Ga 35,A35 + (.G ) a 35 A35 G, +.G+ 75 a 35.9G,P ( )( 8.36) + 75 G.9 34 MLC-9-6 7

74 Question #3 Answer: A The person receives K per year guaranteed for years Ka K The person receives K per years alive starting years from now Hence we have E 4 a 5 K b g a 4 K Derive Derive E 4: a 5 A A + E A E : A 4 A 4 A 5 b g 4 5 A d : Plug in values:, hk c K K b gb g MLC

75 Question #3 Answer: D STANDARD: MODIFIED: t t e5: dt t ds. p e z e t e5: t p5 dt p + 5 dt 74 Difference.847 z z F HG. t. t e dt + e dt 74. F HG e. t + e t. 74 I K J I KJ g b *Question #3 Answer: B Comparing B & D: Prospectively at time, they have the same future benefits. At issue, B has the lower net premium. Thus, B has the higher reserve. Comparing A to B: Consider them retrospectively. At issue, B has the higher net premium. Until time, they have had the same benefits, so B has the higher reserve. Comparing B to C: Visualize a graph C* that matches graph B on one side of t and matches graph C on the other side. By using the logic of the two preceding paragraphs, C s reserve is lower than C* s which is lower than B s. Comparing B to E: Reserves on E are constant at. MLC

76 Question #33 Answer: C Since only decrements () and () occur during the year, probability of reaching the end of the year is p p b g b g 6 6 b gb g Probability of remaining through the year is p p p b g b g b g b gb gb g Probability of eiting at the end of the year is qb3g Question #34 - Removed Question #35 Answer: D z EPV of regular death benefit -δ t -µ t bgde ib.8gde idt z -.6t -.8t bgde ib. 8gde idt. 8 / b g, z3 EPV of accidental death benefit b gd -δ t e ib gd -µ t. e i dt z3 b gd -.6t ib gd -.8t e. e i dt e -.4 /. 68, Total EPV MLC

77 Question #36 Answer: B l l b gb g b gb g. 6 79, , 65 8, , , 839 b gb g b gb g 79, , q + 8, Question #37 - Removed Question #38 Answer: A b g b g b g τ bg bg q q + q. 34 p p p b g b g b g 4 p q. y b g. 4 bτg 4 q y 4 q τ 4 l b g b gb g b gb g MLC

78 Question #39 Answer: C Pr b g > < L π'.5 K + Pr, v π' a > <.5 K + From Illustrative Life Table, 47 p and 48 p Since L is a decreasing function of K, to have Pr L bπ g > <.5 means we must have L bπ g for K 47. Highest value of L bπ g for K 47 is at K L π K, v π a b g at π L bπ g b π g π > Question #4 Answer: B b b b g g g Pr K p. Pr K p p Pr K > p. 8 EbYg E Y d i VARbYg MLC

79 Question #4 Answer: E [ ] ba E Z since constant force A µ /( µ + δ) ( ) ( ) bµ b. E(Z) b /3 µ + δ.6 T Τ [ Z] bv b v b ( A A ) Var Var Var Var Z µ µ b µ + δ µ + δ 4 b b 9 45 ( ) E( Z) 4 b b b b *Question #4 Answer: B In general, for any premium P and corresponding loss at issue random variable L, P Var L + A A Here So and So b g b δg c h P π δ.8. a 5 b g F I c HG K J h b * g F bgi + c HG h. 8 KJ 4 5 b g + 8 b g b 565 g bδ g b g VarbL g 75. Var L + A A. 8 Var L A A Var L *.. E L * A. 5a a E L * + *. MLC

80 Question #43 - Removed Question #44 Answer: B b g l τ Let number of students entering year superscript (f) denote academic failure superscript (w) denote withdrawal subscript is age at start of year; equals year - bτg p b g b g b g b g τ τ f f l l q q. q q q l q. 4 l q q q q b g b g b g w τ f b g b g b g b g b g τ f τ f w b g f f b g f e e b g. 4 q b g b g b g τ f w b p q q b g b g b g b g b g b g b g w w τ w τ τ w 3q q + p q + p p q b gb g b gb gb g j g j MLC

81 Question #45 Answer: D e p ( + e ) e e N M 6 6 due to having the same µ N M M p5 ep µ 5+ t +.( t) dt p5e.5 e p ( + e ) e p ( + e ).95e 9.5 N N.5 M M Question #46 Answer: D EY [ AGG ] EY [ ] (, ) a A (, ),, δ σ σ b g c h Var Y, A A δ b, g b. 5g b6. g 5, δ Y AGG F E YAGG. 9 Pr > σ 8. σ 5, 5, L N M Y F E Y σ AGG F 8. σ + E Y b b AGG AGG AGG g g AGG F 8. 5, +,,, 64, O Q P MLC-9-6 8

82 Question #47 Answer: A : A vq v q v q (.99847) + 5 (.99847)(.99839) ( ) (.53 a + 3 ) (.979) 3: q (.979 )( ) Annualized premium Each semiannual premium.8 Question: #48 Answer: E b g eb g DA vq + vp DA 8: : b g b g.. 8 q DA 89 : b DA g b6. g :. 8 q 8. DA v. + v : b b g b gb g j g Question #49 - Removed MLC-9-6 8

83 Question #5 Answer: A t t t t p ep ds ep ln( s) s e5:6 e5 + e6 e5: t t 5 5 e dt t t t 4 e dt t t 4 t 4 9t+ t t e5:6 dt dt t 45t e 5: Question #5 Answer: C Ways to go in years ; p (.7)(.).7 ; p (.)(.5).5 ; p.. ( )( ) Total. Binomial m q. Var () (.) (.78) 7 MLC-9-6 8

84 Question #5 Answer: A For death occurring in year.3 EPV For death occurring in year 3, two cases: () State State State 4: (..). () State State State 4: (.5.3).5 Total.7.7 EPV Total. EPV Question #53 - Removed *Question #54 Answer: C Let π denote the single net premium. π a + π A : 3 3 a A A a 35 35: 3 35: 3 π A A 35: 3 e b 35: 3 j g b.7g MLC

85 Question #55 Answer: E. 4 p e z e F+ e d. 4F L e NM. 4F F H e j. 4 O QP I K e. 8 e F e b g F ln F. 68 F. *Question #56 Answer: C ( + )(.3) + + ( + ) + 9 ( ) + ( 343)(.3).94( 87) + V V P q b q V q b V V V b ( b V) + V P b d a V net premium reserve at the start of year ten P Question #57 Answer: B d.6 V.94 p Step Determine vp vq + v p( p+ + q+ ) p.94 p p p 94( p) p p 7/ MLC ( ) ( )( ) ( ) ( )

86 Step Determine P : P : [ ] P 479 :.8554 ( )( ) ( )( ) Question #58 Answer: D ( IA) v p ( IA) v p q + A ( ) [ ],, 4 4: 4: 9 4 5, see comment 4: 8,95, , 87, 64,.6736 (.59) (.766,) 5,53 Where 4: A A E A ( )( ) Comment: the first line comes from comparing the benefits of the two insurances. At each of age 4, 4, 4,,49 ( IA ) provides a death benefit greater than 4: ( ) IA. Hence the A term. But 4: 4: ( IA ) provides a death benefit at 5 of, 4: while ( IA ) provides. Hence a term involving 4: 9 q 4 9 p 4 q 5. The various v s and p s just get all epected present values at age 4. MLC

87 Question #59 Answer: A π ( + ) ( ) ( ) q ( ) V i q V q AS ( )( i) G epenses + q p ( (.4)( ) )(.) ( )(.5).5 6(.) Question #6 Answer: C At any age, ( ). p e.98 ( ) q.98.98, which is also end of the year. ( ) q, since decrement occurs only at the Epected present value (EPV) at the start of each year for that year s death benefits,*.98 v 88. ( ) p τ.98* ( τ ) E p v.94 v.94* EPV of death benefit for 3 years E4 *88. + E4 * E4 * MLC

88 Question #6 Answer: B e 3:4 4 t 4 p dt 3 ω 3 t dt ω 3 4 t t 3 ( ω ) 8 4 ω ω 95 Or, with a linear survival function, it may be simpler to draw a picture: p 4 p e 3:4 t p 3 area p ω ω 3 ω t 65 ( ) ( ( )) Var ET ET ( + p ) 4 3 MLC

89 Using a common formula for the second moment: ( ) Var T t p dt e t 65 t 65 t t dt dt ( ) ( ) * / Another way, easy to calculate for a linear survival function is ( ) ( ) µ µ Var T t p dt t p dt t + t t + t t dt t dt t t ( 3.5) 35.8 With a linear survival function and a maimum future lifetime of 65 years, you probably didn t need to integrate to get E( T ) 3 e Likewise, if you realize (after getting ω 95 ) that T 3 is uniformly distributed on (, 65), its variance is just the variance of a continuous uniform random variable: ( 65 ) Var 35.8 Question #6 Answer: E ( ) ( ) 8.5.6,. V ( )(.6) ( 9,)(.) V MLC

90 Question #63 Answer: D e e p y t k e p + p +... y y y ( )( ) ( ) ( ) ( ) e e + e e 8.56 y y y Question #64 - Removed Question #65 - Removed Question #66 Answer: E.8t.8t a e dt.5 3 A e (.3) dt t 3 A e (.3) dt σ ( a ) Var a A ( A ) (.375) 6.48 T T δ Pr a a σ ( a ) Pr a > > T T T T v.5t Pr > Pr.6754 > e.5 ln.6754 Pr T > Pr[ T > ] e.79 MLC

91 Question #67 Answer: A ( τ ) (.5)( 5).5 5 p5 e e.7788 ( ) 5 ( ) 5 (.3+.) t.5t 5q55 µ 55 (. /.5) + t e dt e.4( e.5 ).885 Probability of retiring before.7788* ( τ ) ( ) 6 p q MLC-9-6 9

92 Question #68 Answer: C Complete the table: l8 l[ 8] d[ 8] 9 l8 l[ 8] d[ 8] 83 (not really needed) e e + since UDD e [ ] e[ ] + l 8 + l8 + l83 + e[ ] + l[ 8] e[ 8] l[ 8] l8 + l8 + Call this equation (A) e[ 8] l[ 8] l8 + Formula like (A), one age later. Call this (B) Subtract equation (B) from equation (A) to get l 8 e [ 8] l [ 8] e[ 8] l[ 8 ] 9 [ 8.5.5] e[ 8] e[ 8] 8. 9 MLC-9-6 9

93 Alternatively, and more straightforward, 9 p[ 8].9 83 p[ 8] p8.9 9 e [ ] q[ 8] p + [ 8] + e 8 8 where q [ 8] contributes 8.5 (.9) + (.9) + e8 since UDD e8 8.9 e8 q8 + p8 + e8 e8 8.9 (.9) e8 e[ 8] q[ 8] p + [ 8] 8 + e ( ) ( )( ) Or, do all the recursions in terms of e, not e, starting with e [ 8] , then final step e [ ] e [ ] + MLC-9-6 9

Fall 2003 Society of Actuaries Course 3 Solutions = (0.9)(0.8)(0.3) + (0.5)(0.4)(0.7) (0.9)(0.8)(0.5)(0.4) [1-(0.7)(0.3)] = (0.

Fall 2003 Society of Actuaries Course 3 Solutions = (0.9)(0.8)(0.3) + (0.5)(0.4)(0.7) (0.9)(0.8)(0.5)(0.4) [1-(0.7)(0.3)] = (0. Fall 3 Society of Actuaries Course 3 Solutions Question # Key: E q = p p 3:34 3:34 3 3:34 p p p 3 34 3:34 p 3:34 p p p p 3 3 3 34 3 3:34 3 3:34 =.9.8 =.7 =.5.4 =. =.7. =.44 =.7 +..44 =.776 =.7.7 =.54 =..3

More information

SOCIETY OF ACTUARIES EXAM MLC ACTUARIAL MODELS EXAM MLC SAMPLE SOLUTIONS

SOCIETY OF ACTUARIES EXAM MLC ACTUARIAL MODELS EXAM MLC SAMPLE SOLUTIONS SOCIETY OF ACTUARIES EXAM MLC ACTUARIAL MODELS EXAM MLC SAMPLE SOLUTIONS Copyright 8 by the Society of Actuaries Some of the questions in this study note are taken from past SOA eaminations. MLC-9-8 PRINTED

More information

COURSE 3 MAY 2001 MULTIPLE-CHOICE ANSWER KEY

COURSE 3 MAY 2001 MULTIPLE-CHOICE ANSWER KEY COURSE 3 MAY 00 MULTIPLE-CHOICE ANSWER KEY E 6 B A 7 D 3 C 8 D 4 E 9 E 5 D 30 D 6 B 3 D 7 C 3 A 8 D 33 D 9 C 34 A 0 A 35 B B 36 E A 37 C 3 E 38 A 4 B 39 E 5 A 40 B 6 B 7 A 8 E 9 C 0 C E D 3 A 4 B 5 C COURSE

More information

SPRING 2007 EXAM MLC SOLUTIONS

SPRING 2007 EXAM MLC SOLUTIONS SPRING 7 EXAM MLC SOLUTIONS Question # Key: E p p.95 3 7 7 p7.96 75 μ 7 d.7.9896 4p7 e e.8985 5p 7.9896.8985.889 Question # Key: B A μ/ μ+ δ μ/ μ+.8.3443 μ.4 A μ.79 μ+ δ Var a T A A.79.3443 δ.8 3.96 Question

More information

May 2013 MLC Solutions

May 2013 MLC Solutions May 3 MLC Solutions. Key: D Let k be the policy year, so that the mortality rate during that year is q 3 + k. The objective is to determine the smallest value of k such that k k v ( k p3) ( P3) < v ( k

More information

SPRING 2005 EXAM M SOLUTIONS. = When (as given in the problem), (x) dies in the second year from issue, the curtate future lifetime x + 1 is 0, so

SPRING 2005 EXAM M SOLUTIONS. = When (as given in the problem), (x) dies in the second year from issue, the curtate future lifetime x + 1 is 0, so SPRING 005 EXAM M SOLUTIONS Question # Key: B Let K be the curtate future lifetime of (x + k) K + k L 000v 000Px :3 ak + When (as given in the problem), (x) dies in the second year from issue, the curtate

More information

Long-Term Actuarial Mathematics Solutions to Sample Multiple Choice Questions

Long-Term Actuarial Mathematics Solutions to Sample Multiple Choice Questions Long-Term Actuarial Mathematics Solutions to Sample Multiple Choice Questions October, 8 Versions: July, 8 Original Set of Questions Published July 4, 8 Correction to question 6.5 August, 8 Correction

More information

Stat 476 Life Contingencies II. Multiple Life and Multiple Decrement Models

Stat 476 Life Contingencies II. Multiple Life and Multiple Decrement Models Stat 476 Life Contingencies II Multiple Life and Multiple Decrement Models Multiple Life Models To this point, all of the products we ve dealt with were based on the life status (alive / dead or multi-state)

More information

Multiple Decrement Models

Multiple Decrement Models Multiple Decrement Models Lecture: Weeks 7-8 Lecture: Weeks 7-8 (Math 3631) Multiple Decrement Models Spring 2018 - Valdez 1 / 26 Multiple decrement models Lecture summary Multiple decrement model - epressed

More information

MLC Fall 2015 Written Answer Questions. Model Solutions

MLC Fall 2015 Written Answer Questions. Model Solutions MLC Fall 215 Written Answer Questions Model Solutions 1 MLC Fall 215 Question 1 Model Solution Learning Outcome: 1(a) Chapter References: AMLCR 2.2-2.5 Overall, this question was done reasonably well,

More information

MLC Fall Model Solutions. Written Answer Questions

MLC Fall Model Solutions. Written Answer Questions MLC Fall 216 Model Solutions Written Answer Questions 1 MLC Fall 216 Question 1 Model Solution Learning Outcome: 1(a), 1(b), 1(d) Chapter References: AMLCR Chapter 8 Notes: 1. Part (a) was done very well

More information

Mixture distributions in Exams MLC/3L and C/4

Mixture distributions in Exams MLC/3L and C/4 Making sense of... Mixture distributions in Exams MLC/3L and C/4 James W. Daniel Jim Daniel s Actuarial Seminars www.actuarialseminars.com February 1, 2012 c Copyright 2012 by James W. Daniel; reproduction

More information

PAST CAS AND SOA EXAMINATION QUESTIONS ON SURVIVAL

PAST CAS AND SOA EXAMINATION QUESTIONS ON SURVIVAL NOTES Questions and parts of some solutions have been taken from material copyrighted by the Casualty Actuarial Society and the Society of Actuaries. They are reproduced in this study manual with the permission

More information

Practice Exam #1 CAS Exam 3L

Practice Exam #1 CAS Exam 3L Practice Exam #1 CAS Exam 3L These practice exams should be used during the last month prior to your exam. This practice exam contains 25 questions, of equal value, corresponding to an exam of about 2.5

More information

Stat Hartman Winter 2018 Midterm Exam 28 February 2018

Stat Hartman Winter 2018 Midterm Exam 28 February 2018 Stat 475 - Hartman Winter 218 Midterm Exam 28 February 218 Name: This exam contains 11 pages (including this cover page) and 6 problems Check to see if any pages are missing You may only use an SOA-approved

More information

Course 1 Solutions November 2001 Exams

Course 1 Solutions November 2001 Exams Course Solutions November Exams . A For i =,, let R = event that a red ball is drawn form urn i i B = event that a blue ball is drawn from urn i. i Then if x is the number of blue balls in urn, ( R R)

More information

Spring 2012 Exam MLC Solutions

Spring 2012 Exam MLC Solutions Sring 0 Exam MLC Solutions Question # Key: D l [75] + = q[75] + = 0.95q75+ l[75] + l [75] + = l77 = 96,4 96,4 96,4 = 0.95 l [75] + 98,5 l = [75] + 98,050 Question # Key: A 0.5qx ( xx, + ) U.D.D. 0.5 x+

More information

MLC Fall 2014 Written Answer Questions. Model Solutions

MLC Fall 2014 Written Answer Questions. Model Solutions MLC Fall 2014 Written Answer Questions Model Solutions 1 MLC Fall 2014 Question 1 Model Solution Learning Objectives: 2(a), (a), 4(f) Textbook References: 5.4, 6.6, 1.5 (a) The EPV of the commission payments

More information

Errata and Updates for ASM Exam LTAM (First Edition Second Printing) Sorted by Page

Errata and Updates for ASM Exam LTAM (First Edition Second Printing) Sorted by Page Errata for ASM Exam LTAM Study Manual (First Edition Second Printing) Sorted by Page Errata and Updates for ASM Exam LTAM (First Edition Second Printing) Sorted by Page Practice Exam 0:A7, 2:A7, and 2:A8

More information

Errata and Updates for ASM Exam LTAM (First Edition Second Printing) Sorted by Date

Errata and Updates for ASM Exam LTAM (First Edition Second Printing) Sorted by Date Errata for ASM Exam LTAM Study Manual (First Edition Second Printing) Sorted by Date Errata and Updates for ASM Exam LTAM (First Edition Second Printing) Sorted by Date Practice Exam 0:A7, 2:A7, and 2:A8

More information

Chapter 2 - Survival Models

Chapter 2 - Survival Models 2-1 Chapter 2 - Survival Models Section 2.2 - Future Lifetime Random Variable and the Survival Function Let T x = ( Future lifelength beyond age x of an individual who has survived to age x [measured in

More information

ASM Study Manual for Exam P, Second Edition By Dr. Krzysztof M. Ostaszewski, FSA, CFA, MAAA Errata

ASM Study Manual for Exam P, Second Edition By Dr. Krzysztof M. Ostaszewski, FSA, CFA, MAAA Errata ASM Study Manual for Exam P, Second Edition By Dr. Krzysztof M. Ostaszewski, FSA, CFA, MAAA (krzysio@krzysio.net) Errata Effective July 5, 3, only the latest edition of this manual will have its errata

More information

Manual for SOA Exam MLC.

Manual for SOA Exam MLC. Chapter 4. Life Insurance. Section 4.9. Computing APV s from a life table. Extract from: Arcones Manual for the SOA Exam MLC. Fall 2009 Edition. available at http://www.actexmadriver.com/ 1/29 Computing

More information

ASM Study Manual for Exam P, First Edition By Dr. Krzysztof M. Ostaszewski, FSA, CFA, MAAA Errata

ASM Study Manual for Exam P, First Edition By Dr. Krzysztof M. Ostaszewski, FSA, CFA, MAAA Errata ASM Study Manual for Exam P, First Edition By Dr. Krzysztof M. Ostaszewski, FSA, CFA, MAAA (krzysio@krzysio.net) Errata Effective July 5, 3, only the latest edition of this manual will have its errata

More information

Survival Models. Lecture: Weeks 2-3. Lecture: Weeks 2-3 (Math 3630) Survival Models Fall Valdez 1 / 31

Survival Models. Lecture: Weeks 2-3. Lecture: Weeks 2-3 (Math 3630) Survival Models Fall Valdez 1 / 31 Survival Models Lecture: Weeks 2-3 Lecture: Weeks 2-3 (Math 3630) Survival Models Fall 2017 - Valdez 1 / 31 Chapter summary Chapter summary Survival models Age-at-death random variable Time-until-death

More information

ARCONES MANUAL FOR THE SOA EXAM P/CAS EXAM 1, PROBABILITY, SPRING 2010 EDITION.

ARCONES MANUAL FOR THE SOA EXAM P/CAS EXAM 1, PROBABILITY, SPRING 2010 EDITION. A self published manuscript ARCONES MANUAL FOR THE SOA EXAM P/CAS EXAM 1, PROBABILITY, SPRING 21 EDITION. M I G U E L A R C O N E S Miguel A. Arcones, Ph. D. c 28. All rights reserved. Author Miguel A.

More information

Answers for NSSH exam paper 2 type of questions, based on the syllabus part 2 (includes 16)

Answers for NSSH exam paper 2 type of questions, based on the syllabus part 2 (includes 16) Answers for NSSH eam paper type of questions, based on the syllabus part (includes 6) Section Integration dy 6 6. (a) Integrate with respect to : d y c ( )d or d The curve passes through P(,) so = 6/ +

More information

Suppose we have the set of all real numbers, R, and two operations, +, and *. Then the following are assumed to be true.

Suppose we have the set of all real numbers, R, and two operations, +, and *. Then the following are assumed to be true. Algebra Review In this appendix, a review of algebra skills will be provided. Students sometimes think that there are tricks needed to do algebra. Rather, algebra is a set of rules about what one may and

More information

Stat 475 Life Contingencies I. Chapter 2: Survival models

Stat 475 Life Contingencies I. Chapter 2: Survival models Stat 475 Life Contingencies I Chapter 2: Survival models The future lifetime random variable Notation We are interested in analyzing and describing the future lifetime of an individual. We use (x) to denote

More information

UNIT 4 MATHEMATICAL METHODS SAMPLE REFERENCE MATERIALS

UNIT 4 MATHEMATICAL METHODS SAMPLE REFERENCE MATERIALS UNIT 4 MATHEMATICAL METHODS SAMPLE REFERENCE MATERIALS EXTRACTS FROM THE ESSENTIALS EXAM REVISION LECTURES NOTES THAT ARE ISSUED TO STUDENTS Students attending our mathematics Essentials Year & Eam Revision

More information

Answer Key 1973 BC 1969 BC 24. A 14. A 24. C 25. A 26. C 27. C 28. D 29. C 30. D 31. C 13. C 12. D 12. E 3. A 32. B 27. E 34. C 14. D 25. B 26.

Answer Key 1973 BC 1969 BC 24. A 14. A 24. C 25. A 26. C 27. C 28. D 29. C 30. D 31. C 13. C 12. D 12. E 3. A 32. B 27. E 34. C 14. D 25. B 26. Answer Key 969 BC 97 BC. C. E. B. D 5. E 6. B 7. D 8. C 9. D. A. B. E. C. D 5. B 6. B 7. B 8. E 9. C. A. B. E. D. C 5. A 6. C 7. C 8. D 9. C. D. C. B. A. D 5. A 6. B 7. D 8. A 9. D. E. D. B. E. E 5. E.

More information

Module 2, Section 2 Solving Equations

Module 2, Section 2 Solving Equations Principles of Mathematics Section, Introduction 03 Introduction Module, Section Solving Equations In this section, you will learn to solve quadratic equations graphically, by factoring, and by applying

More information

Time: 1 hour 30 minutes

Time: 1 hour 30 minutes Paper Reference(s) 6665/01 Edecel GCE Core Mathematics C Silver Level S Time: 1 hour 0 minutes Materials required for eamination papers Mathematical Formulae (Green) Items included with question Nil Candidates

More information

Notes for Math 324, Part 20

Notes for Math 324, Part 20 7 Notes for Math 34, Part Chapter Conditional epectations, variances, etc.. Conditional probability Given two events, the conditional probability of A given B is defined by P[A B] = P[A B]. P[B] P[A B]

More information

EXAMINATION. 13 April 2005 (am) Subject CT4 (103) Models (103 Part) Core Technical. Time allowed: One and a half hours INSTRUCTIONS TO THE CANDIDATE

EXAMINATION. 13 April 2005 (am) Subject CT4 (103) Models (103 Part) Core Technical. Time allowed: One and a half hours INSTRUCTIONS TO THE CANDIDATE Faculty of Actuaries Institute of Actuaries EXAMINATION 13 April 005 (am) Subject CT4 (103) Models (103 Part) Core Technical Time allowed: One and a half hours INSTRUCTIONS TO THE CANDIDATE 1. Enter all

More information

Exam MLC Preparation Notes

Exam MLC Preparation Notes Exam MLC Preparation Notes Yeng M. Chang 213 All Rights Reserved 2 Contents Preface 7 1 Continuous Survival Models 9 1.1 CDFs, Survival Functions, µ x+t............................... 9 1.2 Parametric

More information

Errata for the ASM Study Manual for Exam P, Fourth Edition By Dr. Krzysztof M. Ostaszewski, FSA, CFA, MAAA

Errata for the ASM Study Manual for Exam P, Fourth Edition By Dr. Krzysztof M. Ostaszewski, FSA, CFA, MAAA Errata for the ASM Study Manual for Exam P, Fourth Edition By Dr. Krzysztof M. Ostaszewski, FSA, CFA, MAAA (krzysio@krzysio.net) Effective July 5, 3, only the latest edition of this manual will have its

More information

Estimation for Modified Data

Estimation for Modified Data Definition. Estimation for Modified Data 1. Empirical distribution for complete individual data (section 11.) An observation X is truncated from below ( left truncated) at d if when it is at or below d

More information

INVERSE PROBLEMS FOR MARKOV MODELS IN HEALTH INSURANCE. Semyen I. Spivak. The Bashkir State University, Ufa, Russia

INVERSE PROBLEMS FOR MARKOV MODELS IN HEALTH INSURANCE. Semyen I. Spivak. The Bashkir State University, Ufa, Russia INVERSE PROBLEMS FOR MARKOV MODELS IN HEALTH INSURANCE Semyen I. Spivak The Bashkir State University, Ufa, Russia The paper deals with inverse problems for Markov models in health insurance. Two opposite

More information

9 - Markov processes and Burt & Allison 1963 AGEC

9 - Markov processes and Burt & Allison 1963 AGEC This document was generated at 8:37 PM on Saturday, March 17, 2018 Copyright 2018 Richard T. Woodward 9 - Markov processes and Burt & Allison 1963 AGEC 642-2018 I. What is a Markov Chain? A Markov chain

More information

SPRING 2007 EXAM C SOLUTIONS

SPRING 2007 EXAM C SOLUTIONS SPRING 007 EXAM C SOLUTIONS Question #1 The data are already shifted (have had the policy limit and the deductible of 50 applied). The two 350 payments are censored. Thus the likelihood function is L =

More information

INVERSE PROBLEMS IN MARKOV MODELS AND MEDICAL INSURANCE

INVERSE PROBLEMS IN MARKOV MODELS AND MEDICAL INSURANCE INVERSE PROBLEMS IN MARKOV MODELS AND MEDICAL INSURANCE Spivak Semyen, Abdyusheva Svetlana Bashkir State University Frunze str. 32, Ufa, 450074, Russia Phone: +7 3472-236162 Fax: +7 3472-236680 Email:

More information

Stat 475. Solutions to Homework Assignment 1

Stat 475. Solutions to Homework Assignment 1 Stat 475 Solutions to Homework Assignment. Jimmy recently purchased a house for he and his family to live in with a $3, 3-year mortgage. He is worried that should he die before the mortgage is paid, his

More information

Time: 1 hour 30 minutes

Time: 1 hour 30 minutes Paper Reference(s) 6665/0 Edecel GCE Core Mathematics C3 Bronze Level B Time: hour 30 minutes Materials required for eamination papers Mathematical Formulae (Green) Items included with question Nil Candidates

More information

Markscheme May 2017 Mathematics Standard level Paper 2

Markscheme May 2017 Mathematics Standard level Paper 2 M17/5/MATME/SP/ENG/TZ1/XX/M Markscheme May 017 Mathematics Standard level Paper 16 pages M17/5/MATME/SP/ENG/TZ1/XX/M This markscheme is the property of the International Baccalaureate and must not be reproduced

More information

12.1 The Extrema of a Function

12.1 The Extrema of a Function . The Etrema of a Function Question : What is the difference between a relative etremum and an absolute etremum? Question : What is a critical point of a function? Question : How do you find the relative

More information

GENERALIZED ANNUITIES AND ASSURANCES, AND INTER-RELATIONSHIPS. BY LEIGH ROBERTS, M.Sc., ABSTRACT

GENERALIZED ANNUITIES AND ASSURANCES, AND INTER-RELATIONSHIPS. BY LEIGH ROBERTS, M.Sc., ABSTRACT GENERALIZED ANNUITIES AND ASSURANCES, AND THEIR INTER-RELATIONSHIPS BY LEIGH ROBERTS, M.Sc., A.I.A ABSTRACT By the definition of generalized assurances and annuities, the relation is shown to be the simplest

More information

Course Number 432/433 Title Algebra II (A & B) H Grade # of Days 120

Course Number 432/433 Title Algebra II (A & B) H Grade # of Days 120 Whitman-Hanson Regional High School provides all students with a high- quality education in order to develop reflective, concerned citizens and contributing members of the global community. Course Number

More information

Heriot-Watt University. M.Sc. in Actuarial Science. Life Insurance Mathematics I. Tutorial 2 Solutions

Heriot-Watt University. M.Sc. in Actuarial Science. Life Insurance Mathematics I. Tutorial 2 Solutions Heriot-Watt University M.Sc. in Actuarial Science Life Insurance Mathematics I Tutorial 2 Solutions. (a) The recursive relationship between pure enowment policy values is: To prove this, write: (V (t)

More information

Equations and Inequalities

Equations and Inequalities Equations and Inequalities Figure 1 CHAPTER OUTLINE 1 The Rectangular Coordinate Systems and Graphs Linear Equations in One Variable Models and Applications Comple Numbers Quadratic Equations 6 Other Types

More information

EE 302 Division 1. Homework 6 Solutions.

EE 302 Division 1. Homework 6 Solutions. EE 3 Division. Homework 6 Solutions. Problem. A random variable X has probability density { C f X () e λ,,, otherwise, where λ is a positive real number. Find (a) The constant C. Solution. Because of the

More information

2 3 x = 6 4. (x 1) 6

2 3 x = 6 4. (x 1) 6 Solutions to Math 201 Final Eam from spring 2007 p. 1 of 16 (some of these problem solutions are out of order, in the interest of saving paper) 1. given equation: 1 2 ( 1) 1 3 = 4 both sides 6: 6 1 1 (

More information

Math 151. Rumbos Fall Solutions to Review Problems for Final Exam

Math 151. Rumbos Fall Solutions to Review Problems for Final Exam Math 5. Rumbos Fall 23 Solutions to Review Problems for Final Exam. Three cards are in a bag. One card is red on both sides. Another card is white on both sides. The third card in red on one side and white

More information

Practice Exam 1. (A) (B) (C) (D) (E) You are given the following data on loss sizes:

Practice Exam 1. (A) (B) (C) (D) (E) You are given the following data on loss sizes: Practice Exam 1 1. Losses for an insurance coverage have the following cumulative distribution function: F(0) = 0 F(1,000) = 0.2 F(5,000) = 0.4 F(10,000) = 0.9 F(100,000) = 1 with linear interpolation

More information

ACCUPLACER MATH 0310

ACCUPLACER MATH 0310 The University of Teas at El Paso Tutoring and Learning Center ACCUPLACER MATH 00 http://www.academics.utep.edu/tlc MATH 00 Page Linear Equations Linear Equations Eercises 5 Linear Equations Answer to

More information

Math 180, Exam 2, Spring 2013 Problem 1 Solution

Math 180, Exam 2, Spring 2013 Problem 1 Solution Math 80, Eam, Spring 0 Problem Solution. Find the derivative of each function below. You do not need to simplify your answers. (a) tan ( + cos ) (b) / (logarithmic differentiation may be useful) (c) +

More information

In this unit we will study exponents, mathematical operations on polynomials, and factoring.

In this unit we will study exponents, mathematical operations on polynomials, and factoring. GRADE 0 MATH CLASS NOTES UNIT E ALGEBRA In this unit we will study eponents, mathematical operations on polynomials, and factoring. Much of this will be an etension of your studies from Math 0F. This unit

More information

Markscheme May 2016 Calculus Higher level Paper 3

Markscheme May 2016 Calculus Higher level Paper 3 M16/5/MATHL/HP3/ENG/TZ0/SE/M Markscheme May 016 Calculus Higher level Paper 3 13 pages M16/5/MATHL/HP3/ENG/TZ0/SE/M This markscheme is the property of the International Baccalaureate and must not be reproduced

More information

Deeper Understanding, Faster Calculation: MLC, Fall 2011

Deeper Understanding, Faster Calculation: MLC, Fall 2011 Deeper Understanding, Faster Calculation: MLC, Fall 211 Yufeng Guo June 8, 211 actuary88.com Chapter Guo MLC: Fall 211 c Yufeng Guo 2 Contents INTRODUCTION 9 The origin of this study guide...........................

More information

need not, however, correspond to the same point on the spoke.) At a certain time, consider a spoke in the lower half of the wheel. A short time later,

need not, however, correspond to the same point on the spoke.) At a certain time, consider a spoke in the lower half of the wheel. A short time later, 1999 Boston Area Undergraduate Physics Competition Solutions 1. (a) Let the sphere have radius R and charge Q. Then the potential at the surface is V (R) = Q R : (1) The magnitude of the eld at radius

More information

i=1 k i=1 g i (Y )] = k

i=1 k i=1 g i (Y )] = k Math 483 EXAM 2 covers 2.4, 2.5, 2.7, 2.8, 3.1, 3.2, 3.3, 3.4, 3.8, 3.9, 4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.9, 5.1, 5.2, and 5.3. The exam is on Thursday, Oct. 13. You are allowed THREE SHEETS OF NOTES and

More information

2014 HSC Mathematics Extension 1 Marking Guidelines

2014 HSC Mathematics Extension 1 Marking Guidelines 04 HSC Mathematics Etension Marking Guidelines Section I Multiple-choice Answer Key Question Answer D A 3 C 4 D 5 B 6 B 7 A 8 D 9 C 0 C BOSTES 04 HSC Mathematics Etension Marking Guidelines Section II

More information

Math Review. for the Quantitative Reasoning measure of the GRE General Test

Math Review. for the Quantitative Reasoning measure of the GRE General Test Math Review for the Quantitative Reasoning measure of the GRE General Test www.ets.org Overview This Math Review will familiarize you with the mathematical skills and concepts that are important for solving

More information

Markscheme November 2016 Mathematics Standard level Paper 1

Markscheme November 2016 Mathematics Standard level Paper 1 N6/5/MATME/SP/ENG/TZ0/XX/M Markscheme November 06 Mathematics Standard level Paper 6 pages N6/5/MATME/SP/ENG/TZ0/XX/M This markscheme is the property of the International Baccalaureate and must not be

More information

Polynomial Functions of Higher Degree

Polynomial Functions of Higher Degree SAMPLE CHAPTER. NOT FOR DISTRIBUTION. 4 Polynomial Functions of Higher Degree Polynomial functions of degree greater than 2 can be used to model data such as the annual temperature fluctuations in Daytona

More information

Course 4 Solutions November 2001 Exams

Course 4 Solutions November 2001 Exams Course 4 Solutions November 001 Exams November, 001 Society of Actuaries Question #1 From the Yule-Walker equations: ρ φ + ρφ 1 1 1. 1 1+ ρ ρφ φ Substituting the given quantities yields: 0.53 φ + 0.53φ

More information

STATISTICS 1 REVISION NOTES

STATISTICS 1 REVISION NOTES STATISTICS 1 REVISION NOTES Statistical Model Representing and summarising Sample Data Key words: Quantitative Data This is data in NUMERICAL FORM such as shoe size, height etc. Qualitative Data This is

More information

Unit 11 - Solving Quadratic Functions PART ONE

Unit 11 - Solving Quadratic Functions PART ONE Unit 11 - Solving Quadratic Functions PART ONE PREREQUISITE SKILLS: students should be able to add, subtract and multiply polynomials students should be able to factor polynomials students should be able

More information

Solution: f( 1) = 3 1)

Solution: f( 1) = 3 1) Gateway Questions How to Evaluate Functions at a Value Using the Rules Identify the independent variable in the rule of function. Replace the independent variable with big parenthesis. Plug in the input

More information

RMSC 2001 Introduction to Risk Management

RMSC 2001 Introduction to Risk Management RMSC 2001 Introduction to Risk Management Tutorial 4 (2011/12) 1 February 20, 2012 Outline: 1. Failure Time 2. Loss Frequency 3. Loss Severity 4. Aggregate Claim ====================================================

More information

Lesson 26: Solving Rational Equations

Lesson 26: Solving Rational Equations Lesson 2: Solving Rational Equations Student Outcomes Students solve rational equations, monitoring for the creation of extraneous solutions. Lesson Notes In the preceding lessons, students learned to

More information

Basic methods to solve equations

Basic methods to solve equations Roberto s Notes on Prerequisites for Calculus Chapter 1: Algebra Section 1 Basic methods to solve equations What you need to know already: How to factor an algebraic epression. What you can learn here:

More information

Quadratic Equations Part I

Quadratic Equations Part I Quadratic Equations Part I Before proceeding with this section we should note that the topic of solving quadratic equations will be covered in two sections. This is done for the benefit of those viewing

More information

Algebra Exam. Solutions and Grading Guide

Algebra Exam. Solutions and Grading Guide Algebra Exam Solutions and Grading Guide You should use this grading guide to carefully grade your own exam, trying to be as objective as possible about what score the TAs would give your responses. Full

More information

GRE Quantitative Reasoning Practice Questions

GRE Quantitative Reasoning Practice Questions GRE Quantitative Reasoning Practice Questions y O x 7. The figure above shows the graph of the function f in the xy-plane. What is the value of f (f( ))? A B C 0 D E Explanation Note that to find f (f(

More information

0.1. Linear transformations

0.1. Linear transformations Suggestions for midterm review #3 The repetitoria are usually not complete; I am merely bringing up the points that many people didn t now on the recitations Linear transformations The following mostly

More information

THE ROYAL STATISTICAL SOCIETY HIGHER CERTIFICATE EXAMINATION MODULE 2

THE ROYAL STATISTICAL SOCIETY HIGHER CERTIFICATE EXAMINATION MODULE 2 THE ROYAL STATISTICAL SOCIETY HIGHER CERTIFICATE EXAMINATION NEW MODULAR SCHEME introduced from the eaminations in 7 MODULE SPECIMEN PAPER B AND SOLUTIONS The time for the eamination is ½ hours The paper

More information

COWLEY COLLEGE & Area Vocational Technical School

COWLEY COLLEGE & Area Vocational Technical School COWLEY COLLEGE & Area Vocational Technical School COURSE PROCEDURE FOR Student Level: This course is open to students on the college level in their freshman or sophomore year. Catalog Description: INTERMEDIATE

More information

Integrals. D. DeTurck. January 1, University of Pennsylvania. D. DeTurck Math A: Integrals 1 / 61

Integrals. D. DeTurck. January 1, University of Pennsylvania. D. DeTurck Math A: Integrals 1 / 61 Integrals D. DeTurck University of Pennsylvania January 1, 2018 D. DeTurck Math 104 002 2018A: Integrals 1 / 61 Integrals Start with dx this means a little bit of x or a little change in x If we add up

More information

1 ** The performance objectives highlighted in italics have been identified as core to an Algebra II course.

1 ** The performance objectives highlighted in italics have been identified as core to an Algebra II course. Strand One: Number Sense and Operations Every student should understand and use all concepts and skills from the pervious grade levels. The standards are designed so that new learning builds on preceding

More information

and Rational Functions

and Rational Functions chapter This detail from The School of Athens (painted by Raphael around 1510) depicts Euclid eplaining geometry. Linear, Quadratic, Polynomial, and Rational Functions In this chapter we focus on four

More information

Sophomore Year: Algebra II Textbook: Algebra II, Common Core Edition Larson, Boswell, Kanold, Stiff Holt McDougal 2012

Sophomore Year: Algebra II Textbook: Algebra II, Common Core Edition Larson, Boswell, Kanold, Stiff Holt McDougal 2012 Sophomore Year: Algebra II Tetbook: Algebra II, Common Core Edition Larson, Boswell, Kanold, Stiff Holt McDougal 2012 Course Description: The purpose of this course is to give students a strong foundation

More information

dx dx x sec tan d 1 4 tan 2 2 csc d 2 ln 2 x 2 5x 6 C 2 ln 2 ln x ln x 3 x 2 C Now, suppose you had observed that x 3

dx dx x sec tan d 1 4 tan 2 2 csc d 2 ln 2 x 2 5x 6 C 2 ln 2 ln x ln x 3 x 2 C Now, suppose you had observed that x 3 CHAPTER 8 Integration Techniques, L Hôpital s Rule, and Improper Integrals Section 8. Partial Fractions Understand the concept of a partial fraction decomposition. Use partial fraction decomposition with

More information

M15/5/MATME/SP1/ENG/TZ2/XX/M MARKSCHEME. May 2015 MATHEMATICS. Standard level. Paper pages

M15/5/MATME/SP1/ENG/TZ2/XX/M MARKSCHEME. May 2015 MATHEMATICS. Standard level. Paper pages M15/5/MATME/SP1/ENG/TZ/XX/M MARKSCHEME May 015 MATHEMATICS Standard level Paper 1 16 pages M15/5/MATME/SP1/ENG/TZ/XX/M This markscheme is the property of the International Baccalaureate and must not be

More information

2017 HSC Mathematics Extension 1 Marking Guidelines

2017 HSC Mathematics Extension 1 Marking Guidelines 07 HSC Mathematics Extension Marking Guidelines Section I Multiple-choice Answer Key Question Answer A B 3 B 4 C 5 D 6 D 7 A 8 C 9 C 0 B NESA 07 HSC Mathematics Extension Marking Guidelines Section II

More information

Time: 1 hour 30 minutes

Time: 1 hour 30 minutes Paper Reference(s) 6666/0 Edexcel GCE Core Mathematics C4 Silver Level S Time: hour 30 minutes Materials required for examination papers Mathematical Formulae (Green) Items included with question Nil Candidates

More information

Grades ALGEBRA TILES. Don Balka and Laurie Boswell. Rowley, MA didax.com

Grades ALGEBRA TILES. Don Balka and Laurie Boswell. Rowley, MA didax.com Grades 6 12 ALGEBRA TILES Don Balka and Laurie Boswell Rowley, MA 01969 didax.com CONTENTS Introduction Correlation to the h Standards Unit 1: Introduction to Algebra Tiles 1 Overview and Answers 2 Activity

More information

Fundamentals of Algebra, Geometry, and Trigonometry. (Self-Study Course)

Fundamentals of Algebra, Geometry, and Trigonometry. (Self-Study Course) Fundamentals of Algebra, Geometry, and Trigonometry (Self-Study Course) This training is offered eclusively through the Pennsylvania Department of Transportation, Business Leadership Office, Technical

More information

2. Higher-order Linear ODE s

2. Higher-order Linear ODE s 2. Higher-order Linear ODE s 2A. Second-order Linear ODE s: General Properties 2A-1. On the right below is an abbreviated form of the ODE on the left: (*) y + p()y + q()y = r() Ly = r() ; where L is the

More information

Part Two. Diagnostic Test

Part Two. Diagnostic Test Part Two Diagnostic Test AP Calculus AB and BC Diagnostic Tests Take a moment to gauge your readiness for the AP Calculus eam by taking either the AB diagnostic test or the BC diagnostic test, depending

More information

x + 2y + 3z = 8 x + 3y = 7 x + 2z = 3

x + 2y + 3z = 8 x + 3y = 7 x + 2z = 3 Chapter 2: Solving Linear Equations 23 Elimination Using Matrices As we saw in the presentation, we can use elimination to make a system of linear equations into an upper triangular system that is easy

More information

To find the absolute extrema on a continuous function f defined over a closed interval,

To find the absolute extrema on a continuous function f defined over a closed interval, Question 4: How do you find the absolute etrema of a function? The absolute etrema of a function is the highest or lowest point over which a function is defined. In general, a function may or may not have

More information

A Practitioner s Guide to Generalized Linear Models

A Practitioner s Guide to Generalized Linear Models A Practitioners Guide to Generalized Linear Models Background The classical linear models and most of the minimum bias procedures are special cases of generalized linear models (GLMs). GLMs are more technically

More information

COUNCIL ROCK HIGH SCHOOL MATHEMATICS. A Note Guideline of Algebraic Concepts. Designed to assist students in A Summer Review of Algebra

COUNCIL ROCK HIGH SCHOOL MATHEMATICS. A Note Guideline of Algebraic Concepts. Designed to assist students in A Summer Review of Algebra COUNCIL ROCK HIGH SCHOOL MATHEMATICS A Note Guideline of Algebraic Concepts Designed to assist students in A Summer Review of Algebra [A teacher prepared compilation of the 7 Algebraic concepts deemed

More information

Algebra, Part I. x m x = n xm i x n = x m n = 1

Algebra, Part I. x m x = n xm i x n = x m n = 1 Lesson 7 Algebra, Part I Rules and Definitions Rules Additive property of equality: If a, b, and c represent real numbers, and if a=b, then a + c = b + c. Also, c + a = c + b Multiplicative property of

More information

f X (x) = λe λx, , x 0, k 0, λ > 0 Γ (k) f X (u)f X (z u)du

f X (x) = λe λx, , x 0, k 0, λ > 0 Γ (k) f X (u)f X (z u)du 11 COLLECTED PROBLEMS Do the following problems for coursework 1. Problems 11.4 and 11.5 constitute one exercise leading you through the basic ruin arguments. 2. Problems 11.1 through to 11.13 but excluding

More information

MATHEMATICS AND STATISTICS

MATHEMATICS AND STATISTICS 011-AS-M & S 44 INTRODUCTION MATHEMATICS AND STATISTICS ADVANCED SUPPLEMENTARY LEVEL This syllabus has been designed mainly for candidates who wish to further their study of mathematics beyond the Certificate

More information

Solutions to the Fall 2018 CAS Exam MAS-1

Solutions to the Fall 2018 CAS Exam MAS-1 Solutions to the Fall 2018 CAS Exam MAS-1 (Incorporating the Preliminary CAS Answer Key) There were 45 questions in total, of equal value, on this 4 hour exam. There was a 15 minute reading period in addition

More information

MARKSCHEME SPECIMEN MATHEMATICS

MARKSCHEME SPECIMEN MATHEMATICS SPEC/5/MATME/SP1/ENG/TZ0/XX/M MARKSCHEME SPECIMEN MATHEMATICS Standard Level Paper 1 11 pages SPEC/5/MATME/SP1/ENG/TZ0/XX/M Abbreviations M A R N AG Instructions to Eaminers Marks awarded for attempting

More information

University of Colorado at Colorado Springs Math 090 Fundamentals of College Algebra

University of Colorado at Colorado Springs Math 090 Fundamentals of College Algebra University of Colorado at Colorado Springs Math 090 Fundamentals of College Algebra Table of Contents Chapter The Algebra of Polynomials Chapter Factoring 7 Chapter 3 Fractions Chapter 4 Eponents and Radicals

More information