the mean of probability distribution long-run arithmetic average value of random variable having distribution. in context, known expected value. discrete probability distribution, mean given
∑
x
p
(
x
)
{\displaystyle \textstyle \sum xp(x)}
, sum taken on possible values of random variable ,
p
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x
)
{\displaystyle p(x)}
probability mass function. continuous distribution,the mean
∫
−
∞
∞
x
f
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x
)
d
x
{\displaystyle \textstyle \int _{-\infty }^{\infty }xf(x)\,dx}
,
f
(
x
)
{\displaystyle f(x)}
probability density function. in cases, including in distribution neither discrete nor continuous, mean lebesgue integral of random variable respect probability measure. mean need not exist or finite; probability distributions mean infinite (+∞ or −∞), while others have no mean.
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