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Statistics and Probability - Mutually exclusive events

Grade 10IB

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

🔑Concepts

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Mutually exclusive events are two or more events that cannot occur at the same time. For example, when rolling a single fair die, the event of getting a 22 and the event of getting a 55 are mutually exclusive because you cannot roll both numbers at once.

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The intersection of two mutually exclusive events AA and BB is an empty set, denoted as A∩B=∅A \cap B = \emptyset. Consequently, the probability of both events occurring simultaneously is zero: P(A∩B)=0P(A \cap B) = 0.

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The Addition Rule for mutually exclusive events states that the probability of either event AA or event BB occurring is the sum of their individual probabilities: P(A∪B)=P(A)+P(B)P(A \cup B) = P(A) + P(B).

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In a Venn diagram, mutually exclusive events are represented by separate, non-overlapping circles.

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If a set of mutually exclusive events represents all possible outcomes of an experiment, they are called exhaustive events, and the sum of their probabilities equals 11.

📐Formulae

P(A∩B)=0P(A \cap B) = 0

P(A∪B)=P(A)+P(B)P(A \cup B) = P(A) + P(B), where AA and BB are mutually exclusive.

P(A∪B∪C)=P(A)+P(B)+P(C)P(A \cup B \cup C) = P(A) + P(B) + P(C), where A,B, and CA, B, \text{ and } C are mutually exclusive.

∑P(Xi)=1\sum P(X_i) = 1, for a complete set of mutually exclusive and exhaustive events.

💡Examples

Problem 1:

A box contains 44 red, 33 yellow, and 55 green marbles. If one marble is selected at random, what is the probability that the marble is either red or yellow?

Solution:

The total number of marbles is 4+3+5=124 + 3 + 5 = 12. Let RR be the event of picking a red marble: P(R)=412=13P(R) = \frac{4}{12} = \frac{1}{3}. Let YY be the event of picking a yellow marble: P(Y)=312=14P(Y) = \frac{3}{12} = \frac{1}{4}. Since the events are mutually exclusive (a marble cannot be both red and yellow), we apply the addition rule: P(R∪Y)=P(R)+P(Y)=412+312=712P(R \cup Y) = P(R) + P(Y) = \frac{4}{12} + \frac{3}{12} = \frac{7}{12}.

Explanation:

Since only one marble is drawn, the outcomes 'Red' and 'Yellow' cannot happen at the same time. Therefore, we simply add the probabilities of the individual events.

Problem 2:

In a deck of 5252 playing cards, are the events 'Drawing a King' and 'Drawing a Queen' mutually exclusive? Find the probability of drawing either a King or a Queen in a single draw.

Solution:

Yes, they are mutually exclusive because a card cannot be both a King and a Queen. P(King)=452=113P(\text{King}) = \frac{4}{52} = \frac{1}{13} P(Queen)=452=113P(\text{Queen}) = \frac{4}{52} = \frac{1}{13} P(King or Queen)=P(King)+P(Queen)=113+113=213P(\text{King or Queen}) = P(\text{King}) + P(\text{Queen}) = \frac{1}{13} + \frac{1}{13} = \frac{2}{13}.

Explanation:

To find the probability of 'or' for mutually exclusive events, we use the specific addition rule P(A∪B)=P(A)+P(B)P(A \cup B) = P(A) + P(B).

Problem 3:

Events AA and BB are mutually exclusive. Given P(A)=0.35P(A) = 0.35 and P(B)=0.45P(B) = 0.45, calculate P(A or B)P(A \text{ or } B) and P(A and B)P(A \text{ and } B).

Solution:

P(A∪B)=0.35+0.45=0.80P(A \cup B) = 0.35 + 0.45 = 0.80 P(A∩B)=0P(A \cap B) = 0

Explanation:

For mutually exclusive events, the probability of both occurring (AA and BB) is always 00. The probability of either occurring (AA or BB) is the sum of their probabilities.