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AP Stats Chapter 5
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Terms in this set (15)
Complement of an event AC
refers to the event "not A"
complement rule
the probability that an event does not occur is 1 minus the probability that the event does occur
conditional probability
the probability that one event happens given that another event is already known to have happened
event
any collection of outcomes from some chance process
independent events
two events are independent if the occurrence of one event has no effect on the chance that the other event will happen
intersection
refers to the situation when both events occur at the same time
law of large numbers
if we observe more and more repetitions of any chance process, the proportion of times that a specific outcome occurs approaches a single value, which we call the probability of that outcome.
mutually exclusive (disjoint)
two events are mutually exclusive (disjoint) if they have no outcomes in common and so can never occur together
probability
a number between 0-1 that describes the proportion of times the outcome would occur in a. very long series of repetitions
probability model
a description of some chance process that consists of two parts: a sample space S and a probability for each outcome
sample space S
the set of all possible outcomes of a chance process
simulation
the imitation of chance behavior, based on a model that accurately reflects the situation
tree diagram
used to display the sample space for a chance process that involves a sequence of outcomes
two-way tables and Venn diagrams
used to display the sample space for a chance process
union
the union of events A and B, denoted by A ∪ B, consists of all outcomes in A, or B, or both
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