Quantitative Aptitude - Probability

16. P(A ∩ B'/C) + P(A ∩ B/C) = P(A/C)

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17. Let Let A and B be two events defined as

Let A and B be two events defined as

Let A and B be two events defined as

Then P (A ∩ B) will be

  • Option : A
  • Explanation : A ∩ B = φ

    P (A ∩ B) = 0

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18. If E1 ,  E2 .... , En are n mutually exclusive event, then the probability of the happening of any one of them is equal to the sum of the probabilities of the happening of separate events.

i.e.,  P(E1 ∪ E2 ∪ E3 .... ∪ En

       = P(E1) +  P(E2) +....  + P(En)

This is

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19. What is the probability of correctly choosing an unknown integer between 0 to 9 within three chances?

  • Option : B
  • Explanation : S = [0, 1, 2, ....,9)
    Suppose we want a particular integer "3" to be
    chosen.
    9
    Probability of not choosing "3" is 9/10 (in one
    chance)
    Probability of not choosing 3 in all the three
    chances

                         Probability

    Hence probability of choosing it in at least one
    of the three chances

                Probability

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20. A five figure number is formed by the digits 0, 1,2,3,4 without repetition. Then the probability that the number formed is divisible by 4 is

  • Option : B
  • Explanation : The five digits can be arranged in 5! ways, out
    of which 4! will begin with zero.

    Total number of 5-figure numbers formed
                         = 5! - 4! = 96.
    Those numbers formed will be divisible by 4
    which will have two extreme right digits
    divisible by 4,
    i.e., numbers ending in 04, 12,20,24,32,40.
    Now, numbers ending in 04 = 3! = 6,
    numbers ending in 12 = 3! - 2! = 4,
    numbers ending in 20 = 3! = 6,
    numbers ending in 24 = 3! - 2! = 4,
    numbers ending in 32 = 3! - 2! = 4,
    and numbers ending in 40 = 3! = 6.
    [Numbers having 12, 24, 32 in the extreme right
    are (3! - 2!), since the numbers having zero on
    t.he extreme left are to excluded.]
    Total number of favourable ways
    6 + 4 + 6 + 4 + 4 + 6 = 30
    Hence,    required probability = Probability

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