BUILT-IN MATHEMATICA SYMBOL
PDF
PDF[dist, x]
gives the probability density function for the symbolic distribution dist evaluated at x.
PDF[dist, {x1, x2, ...}]
gives the multivariate probability density function for a symbolic distribution dist evaluated at 
.
PDF[dist]
gives the PDF as a pure function.
- For discrete distributions, PDF is also known as a probability mass function.
- For continuous distributions, PDF[dist, x] dx gives the probability that an observed value will lie between x and
for infinitesimal dx.
- For discrete distributions, PDF[dist, x] gives the probability that an observed value will be x.
- For continuous multivariate distributions, PDF[dist, {x1, x2, ...}]dx1 dx2 ... gives the probability that an observed value will lie in the box given by the limits
and 
for infinitesimal 
.
- For discrete multivariate distributions, PDF[dist, {x1, x2, ...}] gives the probability that an observed value will be
.
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