Elementary Probability
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Elementary event - In probability theory, an elementary event or atomic event is a subset of a sample space that contains only one element. It is important to note that an elementary event is still a set containing an element of the sample space, not that element itself.
Probability axioms - The probability P of some event E, denoted P(E), is defined with respect to a "universe", or sample space \Omega, of all possible elementary events in such a way that P must satisfy the Kolmogorov axioms.
Probability distribution - In mathematics and statistics, a probability distribution, more properly called a probability density, assigns to every interval of the real numbers a probability, so that the probability axioms are satisfied. In technical terms, a probability distribution is a probability measure whose domain is the Borel algebra on the reals.
Probability mass function - In probability theory, a probability mass function (abbreviated pmf) gives the probability that a discrete random variable is exactly equal to some value. A probability mass function differs from a probability density function in that the values of the latter, defined only for continuous random variables, are not probabilities; rather, its integral over a set of possible values of the random variable is a probability.
elementaryprobability
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