Resolution:
## Figure 20.
Worked example. Using the Benjamini and Hochberg method to detect outliers. A P value was determined for each point by computing a t ratio by dividing its residual
by the RSDR, and computing a two-tailed P value from the t distribution. See Table
1. The P values are shown plotted against their rank. The dashed line shows what you'd
expect to see if the P values are randomly scattered between 0 and 1. All but lowest
two of the P values lie very close to this line. The solid line shows the cutoff when
Q is set to 5%. Both of the points with the lowest P values (the two points furthest
from the robust best-fit curves) are defined to be outliers. The dashed line shows
the cutoff when Q is set to 1% as we suggest. Only one point is an outlier with this
definition, which we choose to use.
Motulsky and Brown |