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The variance
of a continuous random variable X
is defined as
![Var(X) = E[(X - u)^2]](notvarx.gif)
where μ
= E[X]. The variance is a measure of the dispersion
of the probability distribution and is usually denoted by the symbol
σ2. An alternative expression which makes calculation
of the variance easier is given by
![Var(X) = E[X^2] - u^2](notvarx1.gif)
That is, the variance
is the mean of the squares less the square of the mean.
Another useful measure of dispersion is the standard
deviation, which is defined as the positive square
root of the variance. (Denoted by σ). Note the similarity
between the above and the corresponding
discrete definition.
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