Consider the following scenario: • Let P(C) = 0.4 • Let P(D) = 0.5 • Let P(C | D) = 0.6 Part (a) Find P(C AND D). Part (b) Are C and D mutually exclusive? Why or why not?   A) There is not enough information to determine if C and D are mutually exclusive. B) C and D are not mutually exclusive because  P(C AND D) ≠ 0 C) C and D are mutually exclusive because they have different probabilities. D) C and D are not mutually exclusive because  P(C) + P(D) ≠ 1 . Part (c) Are C and D independent events? Why or why not?   A) The events are independent because they are mutually exclusive. B) The events are not independent because P(C) × P(D) ≠ P(C | D) C) The events are not independent because P(C | D) ≠ P(C) D) The events are not independent because the sum of the events is less than 1. Part (d) Find P(D | C).

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Author:Amos Gilat
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Consider the following scenario:
• Let P(C) = 0.4
• Let P(D) = 0.5
• Let P(C | D) = 0.6
  • Part (a)

    Find P(C AND D).
  • Part (b)

    Are C and D mutually exclusive? Why or why not?
     
    A) There is not enough information to determine if C and D are mutually exclusive.
    B) C and D are not mutually exclusive because 
    P(C AND D) ≠ 0
    C) C and D are mutually exclusive because they have different probabilities.
    D) C and D are not mutually exclusive because 
    P(C) + P(D) ≠ 1
    .
  • Part (c)

    Are C and D independent events? Why or why not?
     
    A) The events are independent because they are mutually exclusive.
    B) The events are not independent because
    P(C) × P(D) ≠ P(C | D)
    C) The events are not independent because
    P(C | D) ≠ P(C)
    D) The events are not independent because the sum of the events is less than 1.
  • Part (d)

    Find P(D | C).
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