excans:C3f4b77f50: Difference between revisions

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'''Solution: C'''
Consider the following events about a randomly selected auto insurance customer:
Consider the following events about a randomly selected auto insurance customer:


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<math display = "block">
<math display = "block">
\operatorname{P}( A=∩ B ) \operatorname{P}( B | A) \operatorname{P}( A) = (0.15) (0.64) = 0.096.
\operatorname{P}( A ∩ B ) \operatorname{P}( B | A) \operatorname{P}( A) = (0.15) (0.64) = 0.096.
= 0.096 .
= 0.096 .
</math>
</math>

Latest revision as of 13:29, 30 June 2024

Solution: C

Consider the following events about a randomly selected auto insurance customer:

A = customer insures more than one car

B = customer insures a sports car

We want to find the probability of the complement of A intersecting the complement of B (exactly one car, non-sports). We have [math]\operatorname{P}(A^c \cap B) = 1 - \operatorname{P}(A \cup B). [/math] By the additive Law,

[[math]] \operatorname{P}( A ∪ B )= \operatorname{P}( A) + \operatorname{P}( B) − \operatorname{P}( A ∩ B) [[/math]]

By the Multiplicative Law,

[[math]] \operatorname{P}( A ∩ B ) \operatorname{P}( B | A) \operatorname{P}( A) = (0.15) (0.64) = 0.096. = 0.096 . [[/math]]

Then,

[[math]] \operatorname{P}( A ∪ B ) = 0.64 + 0.20 − 0.096 = 0.744 . [[/math]]

Finally,

[[math]] \operatorname{P}( A^c ∩ B^c ) = 1 − 0.744 = 0.256. [[/math]]

Copyright 2023. The Society of Actuaries, Schaumburg, Illinois. Reproduced with permission.