Distinguishability analysis for assessing larger groups of expert data: the case of larger groups of 'average' experts

The purpose of this data file is to consider whether adding more minerals design experts to the analysis is likely to improve the distinguishability of results. It does this by considering how many hypothetical 'ideal' experts, giving exactly average ratings, would move a criterion from being indistinguishable, on average, to being distinguishable.