### Mutually Exclusive Events

Two events and that cannot occur at the same time are **mutually exclusive events**. When we add probability calculations of events described by this term, we can apply the word *or* . Mutually exclusive events have no common outcomes. See in the diagram below that . Notice that there is no intersection between the possible outcomes of event and the possible outcomes of event . For example, if you were asked to pick a number between 1 and 10, you cannot pick a number that is both even and odd. These events are mutually exclusive.

What if we said that we were choosing a card from a deck of cards? Suppose event is choosing an eight and event is choosing an Ace.

Notice that the sets containing the possible outcomes of the events have no elements in common. Therefore, the events are mutually exclusive.

#### Calculating Probability

1. What is the probability of randomly picking a number from 1 to 10 that is even or randomly picking a number from 1 to 10 that is odd?

To calculate the probability of picking a number from 1 to 10 that is even or picking a number from 1 to 10 that is odd, you would follow the steps below:

The probability of picking a number from 1 to 10 that is even and picking a number from 1 to 10 that is odd would just be 0, since these are mutually exclusive events. In other words, .

2. 2 fair dice are rolled. What is the probability of getting a sum less than 7 or a sum equal to 10?

There are no elements that are common, so the events are mutually exclusive.

3. A card is chosen at random from a standard deck of cards. What is the probability that the card chosen is a diamond or club? Are these events mutually exclusive?

A standard deck of cards contains 52 cards, with 13 hearts, 13 diamonds, 13 spades, and 13 clubs. Since a card cannot be a diamond and a club at the same time, choosing a diamond and choosing a club are mutually exclusive events. Suppose that event is choosing a diamond and event is choosing a club. The probability that the card chosen is a diamond or club can then be calculated as follows:

**Points to Consider**

- Can mutually exclusive events be independent? Can they be dependent?

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### Example

#### Example 1

3 coins are tossed simultaneously. What is the probability of getting 1 or 2 heads? Are these events mutually exclusive?

When tossing 3 coins simultaneously, there are possible outcomes. These outcomes are as follows, where represents heads and represents tails:

It's apparent from the list of possible outcomes that there are 3 ways to get 1 head and 3 ways to get 2 heads. Since getting 1 head and getting 2 heads cannot occur at the same time, these events are mutually exclusive. Suppose that event is getting 1 head and event is getting 2 heads. The probability of getting 1 or 2 heads can then be calculated as follows:

### Review

- 2 dice are tossed. What is the probability of obtaining a sum equal to 6?
- 2 dice are tossed. What is the probability of obtaining a sum less than 6?
- 2 dice are tossed. What is the probability of obtaining a sum greater than 6?
- 2 dice are tossed. What is the probability of obtaining a sum of at least 6?
- Thomas bought a bag of jelly beans that contained 10 red jelly beans, 15 blue jelly beans, and 12 green jelly beans. What is the probability of Thomas reaching into the bag and pulling out a blue or green jelly bean?
- A card is chosen at random from a standard deck of cards. What is the probability that the card chosen is a heart or spade? Are these events mutually exclusive?
- 3 coins are tossed simultaneously. What is the probability of getting 3 heads or 3 tails? Are these events mutually exclusive?
- In question 7, what is the probability of getting 3 heads
*and*3 tails when tossing the 3 coins simultaneously? - Are randomly choosing a person who is left-handed and randomly choosing a person who is right-handed mutually exclusive events? Explain your answer.
- Suppose 2 events are mutually exclusive events. If one of the events is randomly choosing a boy from the freshman class of a high school, what could the other event be? Explain your answer.

### Review (Answers)

To view the Review answers, open this PDF file and look for section 1.4.