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Just a note

Here P is the proportion of bootstrap statistics found less than (+half those equal to) the observed trimmed mean, 7.225 (whose location is marked by the black oval). Q is the value of the test parameter, estimated as the trimmed mean of all bootstrap observations of each (smoothed) test population.

The second graph shows the difference between the median value of each set of 5000 bootstrap statistics (Qm) and Q - in other words an estimate of the bias of

Plotting Qm-Q against the shift we applied (the proportion by which each observed count was shifted left) revealed no consistent pattern, so we estimated the bias as their mean difference, or 0.013146