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Quantitative Aptitude · Counting, Probability, Calendar & Clocks

Probability — Questions & Answers

For equally likely outcomes, probability is favourable outcomes over total outcomes. Combinations count the outcomes for 'draw kkk from nnn' questions; the complement often shortens 'at least one' problems.

  • 5 solved questions
  • Step-by-step AI walkthroughs
  • Key formulas included

Key formulas

  • P(E)=favourable outcomestotal outcomesP(E) = \dfrac{\text{favourable outcomes}}{\text{total outcomes}}P(E)=total outcomesfavourable outcomes​, with 0≤P(E)≤10 \le P(E) \le 10≤P(E)≤1

  • P(not E)=1−P(E)P(\text{not } E) = 1 - P(E)P(not E)=1−P(E)

  • P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B)P(A∪B)=P(A)+P(B)−P(A∩B); for mutually exclusive events P(A∩B)=0P(A \cap B) = 0P(A∩B)=0

5 solved Probability questions

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  1. A fair die is rolled once. What is the probability of getting an even number?

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  2. Two fair coins are tossed together. What is the probability of getting exactly one head?

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  3. A card is drawn from a well-shuffled pack of 52. What is the probability that it is a face card (Jack, Queen or King)?

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  4. A bag contains 4 red and 6 blue balls. Two balls are drawn at random. What is the probability that both are red?

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  5. Two dice are thrown together. What is the probability that the sum of the numbers is 8?

    4 steps · reveal one at a time

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Probability — Aptitude Questions & Answers | Kalvy AI