How can a statistician improve your interpretation

Four examples are given of how discussion between scientist and statistician enhanced both the analysis and interpretation of experimental data. They cover both the design and analysis of field experiments, and some of the problems associated with interpreting data from dose-response assays. There is little doubt that the statistician, with his array of analytical and diagnostic tools, can often improve a scientist's interpretation of experimental data, although a statistician cannot compensate for a poorly designed or inadequately replicated experiment.