This workshop will explain the fundamental mismatch between common (classical) statistics and its assumptions vs. the nature of chemically contaminated environmental media. For example, common statistical approaches assume that contamination is randomly and uniformly distributed at the spatial scales typical for sample collection and chemical analysis. Data from case examples will show this is not the case. When the effects of heterogeneity are not controlled, misleading data can be the result with the possibility of leading to faulty decisi
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