Notes for reference: Probability is the measure of the likelihood that an event will occur. Probability is
quantified as a number between 0 and 1, where, loosely speaking, 0 indicates impossibility and 1
indicates certainty. The higher the probability of an event, the more likely it is that the event will occur. A
simple example is the tossing of a fair (unbiased) coin. Since the coin is fair, the two outcomes ("heads"
and "tails") are both equally probable; the probability of "heads" equals the probability of "tails"; and
since no other outcomes are possible, the probability of either "heads" or "tails" is 1/2 (which could also
be written as 0.5 or 50%).
These concepts have been given an axiomatic mathematical formalization in probability theory, which is
used widely in such areas of study as mathematics, statistics, finance, gambling, science (in
particular physics), artificial intelligence/machine learning, computer science, game theory,
and philosophy to, for example, draw inferences about the expected frequency of events. Probability
theory is also used to describe the underlying mechanics and regularities of complex systems.
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Probability is the measure of the likelihood that an event will occur in a Random Experiment. Probability is quantified as a number between 0 and 1, where, loosely speaking, 0 indicates impossibility and 1 indicates certainty. The higher the probability of an event, the more likely it is that the event will occur.
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