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Most scientific work starts with a question about the world we live in. For a statistician, these questions can be classified into a few different kinds. 

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#Someimes, we want to understand the ''internal workings'' of a Unit so we look at its components and how they relate to each other. [[Physiology]] is an example of a discipline in which this kind of focus is common.

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In much research, we use all three modes at different stages. A useful synthesis of this kind of thinking was provided by [[Ludwig von Bertalanffy]].

In every type of research, we must be concerned with managing the [[observational error]] that is inherent in all empirical research. We can increase the precision of our research by 
#using a more precise instrument (eg., a more powerful telescope)
#increasing the number of observations so the ''constant'' we try to measure stands out better against the ''noise''.
#changing the design of our research. This last approach can become very technical, so we will postpone its discussion until [[optimum experimental design]].

Links:
* [http://www.isss.org/lumLVB.htm Ludwig von Bertalanffy]

:[[statistical regularity]] -- [[statistical model]] -- [[summarizing statistical data]] -- [[interpreting statistical data]] --[[experimental design]] -- [[survey sampling]]

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