By Terry Reedy

This technical document studies using data in artwork conservation study. the purpose is to ascertain how statistical analyses were dealt with in released conservation study stories and to signify substitute ways. All elements of knowledge analysis—including experimental layout, info association, and statistical techniques—are evaluated.

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A total of 16 organic materials derived from plants and insects, commonly used as colorants prior to the development of synthetic coloring agents, were tested. Each was exposed for 12 weeks in the absence of light to an ozone 46 Deterioration level equivalent to heavy smog. Fading from the original color level was measured instrumentally by diffuse reflectance spectra. Their classification of colorants (Table 4, p. 121) as very reactive, reactive, possibly reactive, and unreactive seems arbitrary and contributes little information beyond what is in the plots (p.

The strength of all 20 is measured at the end of the period. In the second experiment, 10 casts are kept first in a dry environment and then in a wet environment and the strength measured at the end of each period. In both cases, there are 20 measurements, but N is 20 in the first experiment, and 10 in the second, with two repeated measurements. These two designs are different and must be analyzed differently. The first would be analyzed with a two-group t-test whereas the second would need a paired t-test.

Statistical Tests of Significance In a few instances the degree to which analytical results support or confirm the hypothesis under question is immediately obvious with only a visual scan of the data. Usually, however, the situation is not so clear, so it is good practice to routinely do simple statistical computations that will clarify results. For an example of a simple statistical test useful for general studies of art material compositions we will use data on East Asian pigments presented by John Winter (1981).

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