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Archaeologists routinely analyse bivariate data, whether in raw form or as output from principal components or discriminant function analyses. Often, the aim is to test hypotheses regarding the relationships between two or more groups of data. This paper demonstrates two techniques that are rarely used in archaeology yet, together, refine the presentation and testing of such relationships. Confidence ellipses provide statistically meaningful summaries of location and dispersion, and allow the analyst to judge the feasibility of hypotheses. Permutation tests provide analogues of parametric statistics but do not require the sampling or distributional assumptions that such tests demand; further to this, they have greater statistical power than non-parametric statistics. The value of these two methods in combination is illustrated via a case study of stable isotope ratio data.
Archaeological and Anthropological Sciences – Springer Journals
Published: Sep 20, 2013
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