Jelaskan Teori Probabilitas dari Paraméter dalam bahasa sunda

In probability theory, one may describe the distribution of a random variable as belonging to a family of probability distributions, distinguished from éach other by the values of a finite number of parameters. For example, one talks about "a Poisson distribution with mean value λ", or "a normal distribution with mean μ and variance σ2". The latter formulation and notation léaves some ambiguity whether σ or σ2 is the second paraméter; the distinction is not always relevant.

It is possible to use the sequence of moments (méan, méan square, ...) or cumulants (méan, variance, ...) as paraméters for a probability distribution.