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19 Cards in this Set
- Front
- Back
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Fundamental Counting Principle |
for n terms, if there are m1 ways to choose a first item, m2 ways to choose a second item after the first item has been chosen, and so on, then there are m1 * m2 * m3*......... ways to choose n items |
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permutation |
an arrangement of a group of objects in which order is important. The number of permutations of r objects from a group of n objects is denoted: nPr |
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factorial |
if n is a positive integer, then n factorial, written n! |
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combination |
a selection of a group of objects in which order is not important. The number of combinations of r objects chosen from a group of n objects is denoted: nCr |
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probability |
a number from 0 to 1 (or 0% to 100%) that is the measure of how likely an event is to occur |
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outcome |
a possible result of a probability experiment |
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sample space |
the set of all possible outcomes of a probability experiment |
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event |
an outcome or set of outcomes in a probability experiment |
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equally likely outcomes |
outcomes are equally likely if they have the same probability of occurring. If an experiment has n equally likely outcomes, then the probability of each outcome in 1/n. |
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favorable outcomes |
the occurrence of one of several possible outcomes of a specified event or probability |
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theoretical probability |
the ratio of the number of equally likely outcomes in an event to the total number of possible outcomes
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complement |
the set of all outcomes in the sample space that are not in the event (E) |
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geometric probability |
a form of theoretical probability determined by a ratio of geometric measures such as lengths, areas, or volumes |
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experimental probability |
the ratio of the number of times an event occurs to the number of trials, or times, that an activity is performed |
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experiment |
an operation, process, or activity in which outcomes can be used to estimate probability |
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trial |
in probability, a single repetetion or observation of an experiment |
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independent events |
events for which the occurrence or nonoccurrence of one event does not affect the probability of the other event |
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dependent events |
events for which the occurrence or nonoccurrence of one event affects the probability of the other event |
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conditional probability |
the probability of event B, given that event A has already occurred or is certain to occur, denoted: P(B|A); used to find probability of dependent events |
