Probability of independent and dependent events

  • Probability is a measure of the likelihood or chance that a specific event will occur. It is calculated by dividing the number of favorable outcomes by the total number of possible outcomes.
  • Probability ranges from 0 (impossible event) to 1 (certain event).

  • Definition: Two events are independent if the occurrence of one event does not affect the occurrence of the other event.
  • Example: Tossing a coin and rolling a die. The result of the coin toss does not affect the die roll.
  • Probability of Independent Events:
  • If A and B are independent events, the probability of both A and B occurring is:

P(A and B)=P(A)×P(B)

  • For example, the probability of tossing a head (P(A) = 1/2) and rolling a 3 on a die (P(B) = 1/6) is:

  • Definition: Two events are dependent if the occurrence of one event affects the occurrence of the other event.
  • Example: Drawing cards from a deck without replacement. The first draw affects the probability of the second draw.
  • If A and B are dependent events, the probability of both A and B occurring is: P(A and B)=P(A)×P(B∣A)
  • where P(B∣A)P(B|A)P(B∣A) is the conditional probability of B occurring given that A has occurred.
  • For example, if you draw a card from a deck and it is a heart (P(A) = 13/52), the probability of drawing another heart on the second draw (without replacement) would be:

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