  Cheating in examinations is acknowledged by an increasing number of
organizations to be widespread. We examine two different approaches to assess
their effectiveness at detecting anomalous results, suggestive of collusion,
using data taken from a number of multiple-choice examinations organized by the
UK Radio Communication Foundation. Analysis of student pair overlaps of correct
answers is shown to give results consistent with more orthodox statistical
correlations for which confidence limits as opposed to the less familiar
"Bonferroni method" can be used. A simulation approach is also developed which
confirms the interpretation of the empirical approach.
