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- 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: 16. An insurance company determines
- Page 17 and 18: 21. Upon arrival at a hospital’s
- Page 19 and 20: 24. The number of injury claims per
- 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
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98. Let X 1 , X 2 , X 3 be a random
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(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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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