The size of the sample space is the total number of possible outcomes. For example, when you roll 1 die, the sample space is 1, 2, 3, 4, 5, or 6. So the size of the sample space is 6. Then you need to determine the size of the event space.
Probability helps you understand random, unpredictable situations where multiple outcomes are possible. It is a measure of the likelihood of an event, and it depends on the ratio of event and possible outcomes, if all those outcomes are equally likely.
The Fundamental Counting Principle is a shortcut to finding the size of the sample space when there are many trials and outcomes:
If one event has p possible outcomes, and another event has m possible outcomes, then there are a total of p • m possible outcomes for the two events.
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Step-by-step explanation:
The size of the sample space is the total number of possible outcomes. For example, when you roll 1 die, the sample space is 1, 2, 3, 4, 5, or 6. So the size of the sample space is 6. Then you need to determine the size of the event space.
Probability helps you understand random, unpredictable situations where multiple outcomes are possible. It is a measure of the likelihood of an event, and it depends on the ratio of event and possible outcomes, if all those outcomes are equally likely.
The Fundamental Counting Principle is a shortcut to finding the size of the sample space when there are many trials and outcomes:
If one event has p possible outcomes, and another event has m possible outcomes, then there are a total of p • m possible outcomes for the two events.