Review the key concepts, formulae, and examples before starting your quiz.
🔑Concepts
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 and the event of getting a are mutually exclusive because you cannot roll both numbers at once.
The intersection of two mutually exclusive events and is an empty set, denoted as . Consequently, the probability of both events occurring simultaneously is zero: .
The Addition Rule for mutually exclusive events states that the probability of either event or event occurring is the sum of their individual probabilities: .
In a Venn diagram, mutually exclusive events are represented by separate, non-overlapping circles.
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 .
📐Formulae
, where and are mutually exclusive.
, where are mutually exclusive.
, for a complete set of mutually exclusive and exhaustive events.
💡Examples
Problem 1:
A box contains red, yellow, and 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 . Let be the event of picking a red marble: . Let be the event of picking a yellow marble: . Since the events are mutually exclusive (a marble cannot be both red and yellow), we apply the addition rule: .
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 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. .
Explanation:
To find the probability of 'or' for mutually exclusive events, we use the specific addition rule .
Problem 3:
Events and are mutually exclusive. Given and , calculate and .
Solution:
Explanation:
For mutually exclusive events, the probability of both occurring ( and ) is always . The probability of either occurring ( or ) is the sum of their probabilities.