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The mean
or expectation of a continuous random
variable X
is given by
![E[X] = Integral of x f(x)](noteofx.gif)
where f(x)
is the probability density function of X.
This represents the average value of X
and is usually denoted by the symbol μ. To find the expected
value of any function of X,
say h(X),
we extend the above definition in the following manner.
![E[h(X)] = Integral of h(x) f(x)](noteofhx.gif)
One very important
example of this is h(X)
= X2, note however that E[X2]
is not the same as E[X]2.
Note also the similarity between
the above and the corresponding
discrete definition.
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