SOA/CAS Exam P Sample Questions - The Online Test Page

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$Name: Quiz 5 Math 100 Fall 2011 1. (10 pts.) Consider the equation ...$

Calculate the probability that the participant was a heavy smoker.(A) 0.20(B) 0.25(C) 0.35(D) 0.42(E) 0.5723. An actuary studied the likelihood that different types of drivers would be involved in atleast one collision during any one-year period. The results of the study are presentedbelow.Type ofdriverPercentage ofall driversTeen8%Young adult 16%Midlife45%Senior31%Total 100%Probabilityof at least onecollision0.150.080.040.05Given that a driver has been involved in at least one collision in the past year, what is theprobability that the driver is a young adult driver?(A) 0.06(B) 0.16(C) 0.19(D) 0.22(E) 0.25Page 18 of 82
24. The number of injury claims per month is modeled by a random variable N withP[N = n] =1( n + 1)( n + 2), where n ≥ 0 .Determine the probability of at least one claim during a particular month, giventhat there have been at most four claims during that month.(A)(B)(C)(D)(E)132512355625. A blood test indicates the presence of a particular disease 95% of the time when thedisease is actually present. The same test indicates the presence of the disease 0.5% ofthe time when the disease is not present. One percent of the population actually has thedisease.Calculate the probability that a person has the disease given that the test indicates thepresence of the disease.Page 19 of 82
Page 1 and 2: SOCIETY OF ACTUARIES/CASUALTY ACTUA
Page 3 and 4: 2. The probability that a visit to
Page 5 and 6: (A) 280(B) 423(C) 486(D) 880(E) 896
Page 7 and 8: 8. Among a large group of patients
Page 9 and 10: 11. An actuary studying the insuran
Page 11 and 12: What is the probability that a woma
Page 13 and 14: 16. An insurance company determines
Page 15 and 16: (A) 0.38(B) 0.47(C) 0.68(D) 0.84(E)
Page 17: 21. Upon arrival at a hospital’s
Page 21 and 22: 27. A study of automobile accidents
Page 23 and 24: 30. An actuary has discovered that
Page 25 and 26: 33. The loss due to a fire in a com
Page 27 and 28: 37. The lifetime of a printer costi
Page 29 and 30: Calculate C.(A) 0.1(B) 0.3(C) 0.4(D
Page 31 and 32: 43. A company takes out an insuranc
Page 33 and 34: 46. A device that continuously meas
Page 35 and 36: (A) 85(B) 163(C) 168(D) 213(E) 2555
Page 37 and 38: (A) 0.031(B) 0.066(C) 0.072(D) 0.11
Page 39 and 40: 56. An insurance policy is written
Page 41 and 42: 59. An insurer's annual weather-rel
Page 43 and 44: 63. The warranty on a machine speci
Page 45 and 46: 66. A company agrees to accept the
Page 47 and 48: (A) 161(B) 165(C) 173(D) 182(E) 250
Page 49 and 50: 4(A)2y8(B)3/2y8(C)3y(D)16y1024(E)5y
Page 51 and 52: (D)(E)102r52 2 r75. The monthly pro
Page 53 and 54: 78. A device runs until either of t
Page 55 and 56: 82. An insurance company issues 125
Page 57 and 58: 85. The total claim amount for a he
Page 59 and 60: 88. The waiting time for the first
Page 61 and 62: 91. An insurance company insures a
Page 63 and 64: 95. X and Y are independent random
Page 65 and 66: 98. Let X 1 , X 2 , X 3 be a random
Page 67 and 68: (A) 0.47(B) 0.58(C) 0.83(D) 1.42(E)
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104. A joint density function is gi
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107. Let X denote the size of a sur
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Calculate⎡ 1⎤P⎢Y < X X =⎣ 3
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113. Two life insurance policies, e
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116. An actuary determines that the
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119. An auto insurance policy will
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⎧ 1 2⎪ ( 10 − xy ) for 2 ≤
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SOCIETY OF ACTUARIES/CASUALTY ACTUA
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4. Solution: AFor i = 1, 2, letRi=
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9. Solution: BLetM = event that cus
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14. Solution: Ak1 11 1 1 1 ⎛1⎞p
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19. Solution: BApply Bayes’ Formu
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25. Solution: BLet Y = positive tes
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31. Solution: DLet X denote the num
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36. Solution: BTo determine k, note
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41. Solution: ELetX = number of gro
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44. Solution: CIf k is the number o
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5( ) ⎤ = ∑ ( ) Pr[ = ]E⎡⎣f
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54. Solution: BLet Y denote the cla
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59. Solution: BThe distribution fun
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64. Solution: ALet X denote claim s
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68. Solution: CNote that X has an e
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74. Solution: EFirst note R = 10/T
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( X < ) ∪ ( Y < )Pr ⎡⎣1 1 ⎤
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40 − 3n−2≥nTo find such an n,
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-----------------------------------
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92. Solution: BLet X and Y denote t
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⎧ 1⎪ , 0< t1 < 6 , 0< t2 < 6 ,
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99. Solution: C2We use the relation
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105. Solution: AThe calculation req
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228= Var[ X + Y] = E⎡( X + Y) ⎤
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111. Solution: E3 f ( 2, y)Pr ⎡
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116. Solution: DDenote the number o
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120. Solution: AWe are given that X
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