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Probability - Mutually exclusive events

Grade 11CBSE

Review the key concepts, formulae, and examples before starting your quiz.

πŸ”‘Concepts

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Two events AA and BB are called mutually exclusive events (or disjoint events) if the occurrence of any one of them excludes the occurrence of the other. They cannot occur simultaneously.

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In terms of set theory, AA and BB are mutually exclusive if their intersection is an empty set, i.e., A∩B=Ο•A \cap B = \phi.

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For mutually exclusive events, the probability of both events happening together is zero: P(A∩B)=0P(A \cap B) = 0.

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If AA, BB, and CC are mutually exclusive, no two of them can happen at the same time, meaning A∩B=Ο•A \cap B = \phi, B∩C=Ο•B \cap C = \phi, and A∩C=Ο•A \cap C = \phi.

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Mutually exclusive events should not be confused with independent events. While mutually exclusive events cannot happen together, independent events are those where the occurrence of one does not affect the probability of the other.

πŸ“Formulae

P(A∩B)=0P(A \cap B) = 0

P(AβˆͺB)=P(A)+P(B)P(A \cup B) = P(A) + P(B)

P(AβˆͺBβˆͺC)=P(A)+P(B)+P(C)P(A \cup B \cup C) = P(A) + P(B) + P(C)

P(AΒ orΒ B)=P(A)+P(B)P(A \text{ or } B) = P(A) + P(B)

πŸ’‘Examples

Problem 1:

A die is thrown. Let event AA be 'getting an odd number' and event BB be 'getting an even number'. Are these events mutually exclusive? Find P(AβˆͺB)P(A \cup B).

Solution:

The sample space is S={1,2,3,4,5,6}S = \{1, 2, 3, 4, 5, 6\}. Event A={1,3,5}A = \{1, 3, 5\}, so P(A)=36=12P(A) = \frac{3}{6} = \frac{1}{2}. Event B={2,4,6}B = \{2, 4, 6\}, so P(B)=36=12P(B) = \frac{3}{6} = \frac{1}{2}. Since A∩B=Ο•A \cap B = \phi, the events are mutually exclusive. P(AβˆͺB)=P(A)+P(B)P(A \cup B) = P(A) + P(B) P(AβˆͺB)=12+12=1P(A \cup B) = \frac{1}{2} + \frac{1}{2} = 1

Explanation:

Because a single roll of a die cannot result in a number that is both odd and even, the intersection is empty. Therefore, we simply add the probabilities.

Problem 2:

If P(A)=0.35P(A) = 0.35, P(B)=0.45P(B) = 0.45, and P(AβˆͺB)=0.8P(A \cup B) = 0.8, show that AA and BB are mutually exclusive events.

Solution:

We use the general addition rule: P(AβˆͺB)=P(A)+P(B)βˆ’P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B) Substituting the given values: 0.8=0.35+0.45βˆ’P(A∩B)0.8 = 0.35 + 0.45 - P(A \cap B) 0.8=0.8βˆ’P(A∩B)0.8 = 0.8 - P(A \cap B) P(A∩B)=0.8βˆ’0.8=0P(A \cap B) = 0.8 - 0.8 = 0

Explanation:

Since the probability of the intersection P(A∩B)P(A \cap B) is calculated to be 00, the events AA and BB must be mutually exclusive.

Problem 3:

Two cards are drawn from a pack of 52 cards. Let E1E_1 be the event of drawing a red card and E2E_2 be the event of drawing a black card. Find the probability that the card drawn is either red or black.

Solution:

There are 26 red cards and 26 black cards in a deck. P(E1)=2652=12P(E_1) = \frac{26}{52} = \frac{1}{2} P(E2)=2652=12P(E_2) = \frac{26}{52} = \frac{1}{2} A card cannot be both red and black, so E1∩E2=Ο•E_1 \cap E_2 = \phi. P(E1βˆͺE2)=P(E1)+P(E2)P(E_1 \cup E_2) = P(E_1) + P(E_2) P(E1βˆͺE2)=12+12=1P(E_1 \cup E_2) = \frac{1}{2} + \frac{1}{2} = 1

Explanation:

Since the sets of red cards and black cards are disjoint, we use the addition rule for mutually exclusive events. The result 11 indicates these events are also exhaustive.

Mutually exclusive events Class 11 Notes & Examples