In the introduction, we mentioned
that in multivariate analysis our elements are vectors rather than single
observations. We did not define a vector, counting on the intuitive interpretation
that a vector is an ordered set of numbers. For our purposes, a vector is just
that: an ordered set of numbers, with each number representing a value of one
of the k variables in our analysis.
A k-dimensional random
variable X is
$X=\left(
{{X}_{1}},{{X}_{2}},...,{{X}_{k}} \right)$
where k is some integer
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