Standard Deviation

Explained:

standard deviation

variance

var(X) = E[(X – m)²]

expected value A parameter describing the "center of gravity" of a distribution.

kurtosis A parameter describing the peakedness and tails of a distribution.

linear polynomial of a random vector A random variable or random vector that is defined as a linear polynomial of a random vector.

normal distribution A continuous probability distribution whose probability density function has a "bell" shape.

quantile A notion from probability that can be used as a parameter.

skewness A parameter that describes the lack of symmetry of a distribution.

uniform distribution A continuous probability distribution that has constant probability on a finite interval.