ABSTRACT
Experimental design is the process of most efficiently designing an experimental set-up (or the sampling strategy for an observational study) to extract the patterns we are interested in. To discover the patterns of interest, we need to reduce or eliminate the influence of three components: sample variation; bias and confounding factors. Sample variation arises from two components: sample size (large sample sizes will have lower variation) and the underlying sample variation.
