ABSTRACT
Water quality data sets are translated into meaningful information through statistical analysis. Common data measures are the first step in any data set review. In completing any water quality data analysis, an understanding of censored values and detection limits is essential to ensure that conclusions are not biased due to chemical analyses techniques or changing detection limits. More sophisticated statistical procedures can also be used to derive additional information from a data set such as load estimations, trend analyses, and principal component analysis. A review of these concepts and their application to water quality data are presented in this chapter.
