| Classical Probability | A probability based on the assumption that the outcomes for an experiment are equally likely.
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| Collectively exhaustive | At least one of the events must occur when an experiment is conducted.
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| Combination | The number of ways to choose r objects from a group of n possible objects without regard to order.
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| Complement rule | A way to determine the probability of an event occurring by subtracting the probability of an event not occurring from 1.
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| Conditional probability | The probability of a particular event occurring, given that another event occurred.
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| Contingency table | A table used to classify sample observations according to two or more identifiable characteristics.
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| Event | A collection of one or more outcomes of an experiment.
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| Experiment | A process that leads to the occurrence of one and only one of several possible observations.
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| Independence | The occurrence of one event has no affect on the probability of the occurrence of another event.
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| Joint probability | A probability that measures the likelihood two or more events will happen concurrently.
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| Multiplication formula | If there are m ways of doing one thing, and n ways of doing another thing, there are m ´ n ways of doing both.
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| Mutually exclusive | The occurrence of one event means that none of the other events can occur at the same time.
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| Outcome | A particular result of an experiment.
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| Permutation | Any arrangements of r objects selected from a single group of n possible objects.
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| Posterior probability | A revised probability based on additional information.
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| Prior probability | The initial probability based on the present level of information.
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| Probability | A value between zero and one, inclusive, describing the relative possibility (chance or likelihood) an event will occur.
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| Subjective concept of probability | The likelihood (probability) of a particular event happening that is assigned by an individual based on whatever information is available.
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