Design graphic uncertainties

In addition to the basic uncertainties of graphic design, a designer may also have to consider additional conditions such as ... 

Data Adequacy The key study was well designed, conducted, and documented. Values were presented graphically. Supporting data were sparse, probably because aniline is not a vapor at room temperature, and poisonings have involved contact with the liquid. Although human data are sparse, it is believed that a total uncertainty factor of 100 is protective of human health. Because aniline is absorbed through the skin, which increases the systemic toxicity, direct skin contact with the liquid would be additive and result in onset of adverse effects at airborne concentrations below the respective AEGL values. Therefore, direct skin contact with the liquid should be avoided. 

The effect of the degree of uncertainty on trial success (power) is provided in Table 35.2. A total of 500 replicate simulations were performed for each extreme of uncertainty (none and high). Fewer (n = 100) replicates were performed for the intermediate levels (low and medium), based both on practical computational limitations and an observation of relative stability in the results after 100 replications. More (n = 5000) replicates were performed for graphical clarity in the local regression plots. The results show that failure to account for uncertainty in the model would result in an overestimate of the trial power and thus a falsely optimistic design. 

In addition to potential basic graphic design uncertainties, a designer has to consider additional uncertainties that may exist with any material, some of which follow ... 

A decision tree is a graphic device used to evaluate decisions under uncertainty. Decision trees with DCFs can be used to evaluate supply chain design decisions given uncertainty in prices, demand, exchange rates, and inflation. 

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