An event is a set of outcomes. It is a subset of the sample space for an activity or experiment.
When an event corresponds to a single outcome of the activity, it is often called a simple event.
Two events that have NO outcomes in common are called mutually exclusive. These are events that cannot occur at the same time.
Example: A pair of dice is rolled. The events of rolling a 6 and of rolling a double have the outcome (3,3) in common. These two events are NOT mutually exclusive. A pair of dice is rolled. The events of rolling a 9 and of rolling a double have NO outcomes in common. These two events ARE mutually exclusive.
For any two mutually exclusive events, the probability that an outcome will be in one event or the other event is the sum of their individual probabilities.
For any two events which are not mutually exclusive, the probability that an outcome will be in one event or the other event is the sum of their individual probabilities minus the probability of the outcome being in both events. Look out!! Don't get stuck on this one!!!
Example 1: A pair of dice is rolled. What is the probability that the sum of the numbers rolled is either 7 or 11?
Six
outcomes have a sum of 7:
Two
outcomes have a sum of 11: The sum of the numbers cannot be 7 and 11 at the same time, so these events are mutually exclusive. P(7 or 11) = P(7) + P(11) = 6/36 + 2/36 = 8/36 = 2/9
Example 2: A pair of dice is rolled. What is the probability that the sum of the numbers rolled is either an even number or a multiple of 3?
Of
the 36 possible outcomes, 18 are even sums.
Sums
of 3, 6, 9, and 12 are multiples of 3.
However,
some of these outcomes appear in both events. P(even OR a multiple of 3) = 18/36 + 12/36 - 6/36 = 24/36 = 2/3
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