Discrete Random Variable
In
mathematics
, a
random variable
is
discrete
if its
probability distribution
is discrete; a
discrete probability distribution
is one that is fully characterized by a
probability mass function
. Thus
X
is a discrete random variable if
\sum_u \Pr(X=u) = 1
as
u
runs through the set of all possible values of the random variable
X
. The
Poisson distribution
, the
Bernoulli distribution
, the
binomial distribution
, the
geometric distribution
, and the
negative binomial distribution
are among the most well-known discrete probability distributions. If a random variable is discrete then the
set
of all possible values that it can assume is
finite
or
countably infinite
, because the sum of uncountably many positive
real numbers
(which is the smallest upper bound of the set of all finite partial sums) always diverges to infinity.
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