The gamut of scientific and engineering experimentation is virtually
limitless. In this sea of diversity is there any common basis
that allows the analyst to systematically and validly arrive at
supportable, repeatable research conclusions?
Fortunately, there is such a basis and it is rooted in the fact
that every measurement process, however complicated, has certain
underlying assumptions. This section deals with what those
assumptions are, why they are important, how to go about testing
them, and what the consequences are if the assumptions do not hold.