Last updated on June 18th, 2025
The multiplication rule of probability is a fundamental concept of probability theory. It is the relationship between two or more events that occur together. In this topic, we are going to talk about the multiplication rule of probability and where we use it.
When two events A and B occur together, the probability of these two events depends on whether they are independent or dependent events. The multiplication rule is used to find the intersection of two or more events. We denote it as P (A ∩ B), it represents the probability that both events occur together.
If the events are independent, the probability of both events is the product of their individual probabilities and if the events are dependent, then the probability is calculated using conditional probability.
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When calculating probabilities using the multiplication rule, there are two ways to express it based on the type of event. If the events are independent, the formula we would use is:
P (A ∩ B) = P(A) × P(B)
Here, A and B are two events that are independent of each other, which means that the probability that both of these will occur simultaneously is the product of their respective probabilities.
If the events are dependent on each other, it means that the outcome of one event directly affects the outcome of the second event. We would calculate the probability using conditional probability. The formula is:
P (A ∩ B) = P(A) × P(B|A)
P(A) is the probability of event A occurring, and P(B|A) is the conditional probability of event B occurring given that event A has already occurred.
There are many uses of the multiplication rule of probability. Let us now see the uses and applications of the multiplication rule in different fields:
Students might make mistakes when learning about the multiplication rule of probability. So here are a few mistakes that students make and ways to avoid them:
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A deck has 52 cards. What is the probability of drawing two aces in a row without replacement?
0.0045
P(Ace1 ∩ Ace2) = 452 × 351
= 122652
= 0.0045
Step 1: Probability of drawing the first ace = 4 / 52
Step 2: Since one ace has been removed, the probability of drawing a second ace = 3 / 51 .
Step 3: Multiply both probabilities: 4 / 52 × 3 / 51
What is the probability of getting two heads when flipping two fair coins?
1/4
P(H1 ∩ H2) = 1 / 2 × 1 / 2 = 1 / 4
Step 1: Probability of getting heads on the first flip = 1 / 2
Step 2: Probability of getting heads on the second flip = 1 / 2
Step 3: Multiply both: 1 / 2 × 1 / 2
A bag has 5 red and 10 blue marbles. If you pick two marbles with replacement, what is the probability of getting two red ones?
1/9
P(R1 ∩ R2) = 5 / 15 × 5 / 15 = 1 / 9
Step 1: Probability of first red = 5 / 15
Step 2: Since replacement occurs, second red = 5 / 15.
Step 3: Multiply 5 / 15 × 5 / 15
A group has 6 females and 4 males. What is the probability of randomly selecting two females?
1/3
P(F1 ∩ F2) = 6/10 × 5/9 = 30/90 =1/3
Step 1: Probability of first female = 6/10
Step 2: Probability of the second female (after one is removed) = 5/9
Step 3: Multiply: 6/10 × 5/9
Machine A has a failure probability of 0.1, and Machine B has 0.2. What is the probability that both fail?
0.02
P(A ∩ B) = 0.1 × 0.2 = 0.02
Step 1: Probability of failure of A = 0.1
Step 2: Probability of failure of B = 0.2
Step 3: Multiply: 0.1 × 0.2
A factory makes 5% defective items. What is the probability of picking two defective ones?
0.0025
P(D1 ∩ D2) = 0.05 × 0.05 = 0.0025
Step 1: Probability of first defective = 0.05
Step 2: Probability of second defective = 0.05
Step 3: Multiply: 0.05 × 0 .05
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Jaipreet Kour Wazir is a data wizard with over 5 years of expertise in simplifying complex data concepts. From crunching numbers to crafting insightful visualizations, she turns raw data into compelling stories. Her journey from analytics to education ref
: She compares datasets to puzzle games—the more you play with them, the clearer the picture becomes!