To increease value and self-descriptiveness or experiment results
Premises
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Suppose one conducts a series of similar experiments with several uniform groups of objects. For example a company analises a drug performance and then conducts an advertising campaign for part of clients. This company measures some quantitative attributes and processes them. In this case the differences between the groups of objects turn out often to be obvious and they are well described by one the attributes. However it is often interesting to find out others more complicated factors which explain influence of initial attributes on the final result and thus to investigate detaily the character of the interaction.
Our suggestion
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We suggest that we carry out statistical analysis of the experiment data and present a report comprising the following information:
main results of the experiment,
all kinds of sets of rules permitting to divide objects into uniform groups,
alalysis of dependencies between the groups,
found measure results,
conclusions and recommendations.
We'll consider with interest any of your suggestions
