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Mutually Exclusive Events and the Addition Rule

Definition Mutually Exclusive

Two events are mutually exclusive if they can never happen together. If P(A and B)=0, then events A and B are mutually exclusive.

More Joe Cruelty

Let B stand for Joe getting hit by one or more buses, C for Joe getting hit by one or more cars, M for Joe getting hit by a motorcycle, T for Joe getting hit by one ore more different kinds of vehicle, S for Joe getting hit by several different kinds of vehicles, and L for Joe getting hit by no vehicles. Are these mutually exclusive events?

Select all that apply
  • A
  • B
  • C

You Create an Example

You throw a coin 5 times. Choose three events that are mutually exclusive and label them.

Probability Addition to find P(A or B)

The addition rule for mutually exclusive events is easy. To find the probability that either A or B occurs add their individual probabilities together.

Overlapping Events.

If two events are not mutually exclusive then they are overlapping events. For example, assume that at a high school with 300 you count the number of students who speak French and Spanish and make this Venn diagram. How many students speak French? What is the probability that a student speaks French? Let F represent the event that a randomly chosen student speaks French.

Let S represent the event that a randomly chosen student speaks Spanish. Find P(S)

Find the probability that a student speaks both Spanish and French.

Find P(F or S) = P(F and ) + P(F and S) + P( and S) This comes easily from the Venn Diagram.

Use the Addition Rule P(A or B) = P(A) + P(B) - P(A and B)

Find P(F or S) = P(F) + P(S) - P(F and S). We subtract the trilingual speakers because otherwise we would be double counting them in this overlapping event. This comes more easily from a "Klapheck" diagram.

Why is the addition rule P(A or B) = P(A) + P(B) - P(A and B) still true for mutually exclusive events A and B?