Multiplication Law of Probability

Multiplication Law of Probability

The multiplication law of probability is used to determine the probability that two events will both occur.

Key Concepts

  • Events: An event is a specific outcome or a set of outcomes of a random experiment.
  • Independent Events: Two events are independent if the occurrence of one does not affect the occurrence of the other.
  • Dependent Events: Two events are dependent if the occurrence of one affects the occurrence of the other.

Multiplication Law for Independent Events:

P(AB)=P(A)×P(B)P(A \cap B) = P(A) \times P(B)

This formula applies when events A and B are independent of each other.

Example:

Suppose event AA is rolling a 3 on a die P(A)=16P(A) = \frac{1}{6}, and event BB is flipping a head on a coin P(B)=12P(B) = \frac{1}{2}. Since these events are independent:

P(AB)=P(A)×P(B)=16×12=112P(A \cap B) = P(A) \times P(B) = \frac{1}{6} \times \frac{1}{2} = \frac{1}{12}

Multiplication Law for Dependent Events:

If events A and B are dependent, the probability of both events occurring is given by:

P(AB)=P(A)×P(BA)P(A \cap B) = P(A) \times P(B|A)

Where P(BA)P(B|A) is the conditional probability of event B given that event A has occurred.

Example:

Suppose event AA is drawing an ace from a deck of cards P(A)=452P(A) = \frac{4}{52}, and event BB is drawing a king from the remaining deck (without replacement). The probability of drawing a king after drawing an ace:

P(BA)=451P(B|A) = \frac{4}{51}

Therefore:

P(AB)=P(A)×P(BA)=452×451=162652=4663P(A \cap B) = P(A) \times P(B|A) = \frac{4}{52} \times \frac{4}{51} = \frac{16}{2652} = \frac{4}{663}

Practice Question

Question 1. A bag contains 5 red balls and 3 blue balls. Two balls are drawn at random without replacement. What is the probability that both balls are red?

Solution:

Let A be the event that the first ball drawn is red, and B be the event that the second ball drawn is red.

P(A)=58P(A) = \frac{5}{8}

If the first ball drawn is red, there are now 4 red balls left out of 7 remaining balls.

P(BA)=47P(B|A) = \frac{4}{7}

Therefore, the probability that both balls are red:

P(AB)=P(A)×P(BA)=58×47=2056=514P(A \cap B) = P(A) \times P(B|A) = \frac{5}{8} \times \frac{4}{7} = \frac{20}{56} = \frac{5}{14}



Question 2. A box contains 10 pens: 4 are blue, 3 are black, and 3 are red. Two pens are selected at random with replacement. What is the probability that both pens are black?
Solution:

Since the pens are selected with replacement, the events are independent.

P(A)=310P(A) = \frac{3}{10}

The probability of drawing a black pen on the second draw is the same:

P(B)=310P(B) = \frac{3}{10}

Therefore, the probability that both pens are black:

P(AB)=P(A)×P(B)=310×310=9100P(A \cap B) = P(A) \times P(B) = \frac{3}{10} \times \frac{3}{10} = \frac{9}{100}