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Mutually exclusive events in probability theory are events that cannot occur at the same time, such as flipping a coin to get heads or tails. This concept is crucial for calculating probabilities and is represented using Venn diagrams and set theory. The addition rule for these events helps solve real-life probability problems by summing individual probabilities. Differentiating them from independent events is vital for accurate probability analysis.
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Mutually exclusive events are events that cannot occur at the same time, essential for accurately calculating probabilities
Flipping a fair coin
When flipping a fair coin, the result can only be heads or tails, not both, making these outcomes mutually exclusive
Drawing a single card from a deck
In drawing a single card from a deck, it cannot be both an ace and a queen, making these outcomes mutually exclusive
Venn diagrams
Venn diagrams depict mutually exclusive events as non-intersecting circles, with no shared area
Set theory
In set theory, mutually exclusive events are denoted as A ∩ B = ∅, indicating no common outcomes
The addition rule states that the probability of the occurrence of any one of the mutually exclusive events is the sum of their individual probabilities
Rolling a die
The addition rule can be applied to calculate the probability of rolling a 1 or a 2 on a fair six-sided die
Drawing cards from a deck
The addition rule can be used to calculate the probability of drawing a heart or a club from a standard deck of cards
Mutually exclusive events cannot occur at the same time, while independent events have no influence on each other's probability
Independent events
The joint probability of independent events is the product of their individual probabilities
Mutually exclusive events
The combined probability of mutually exclusive events is the sum of their individual probabilities