 # Mean

Wiki info

The mean of a probability distribution is the long-run arithmetic average value of a random variable having that distribution. If the random variable is denoted by X{\displaystyle X}, then it is also known as the expected value of X{\displaystyle X} (denoted E(X){\displaystyle E(X)}). For a discrete probability distribution, the mean is given by ∑xP(x){\displaystyle \textstyle \sum xP(x)}, where the sum is taken over all possible values of the random variable and P(x){\displaystyle P(x)} is the probability mass function. For a continuous distribution, the mean is ∫−∞∞xf(x)dx{\displaystyle \textstyle \int _{-\infty }^{\infty }xf(x)\,dx}, where f(x){\displaystyle f(x)} is the probability density function. In all cases, including those in which the distribution is neither discrete nor continuous, the mean is the Lebesgue integral of the random variable with respect to its probability measure. The mean need not exist or be finite; for some probability distributions the mean is infinite (+∞ or −∞), while for others the mean is undefined.

### Images for Mean MEAN - อ่อนแอก็แพ้ไป | So Weak [Official MV] - YouTube
ytimg.com
Tags: Name Calling in the New York Times ConscienHealth, Mean Girls musical coming to Broadway this spring am, Bad Babies Rare Pictures, 39Evolution will punish you if you39re selfish and mean, Math Blog 817 2008 Linda39s Measures Of Central Tendency, MEAN So Weak Official MV YouTube, Mean Little Sister stock image Image of drama fight, Download Mean Girls 2004 Torrent OTorrents, MEAN software bundle Wikipedia, Reading Mean Comments YouTube, Mean Girls 2003 Best Scenes YouTube,

Keyword examples:

John Stamos And Lori Loughlin Dated Zbrush 2019 How To Use New Zbrush Camera With 3ds Max Agario Fun Mode 