Higher numbers would be needed for a useful 99%-coverage, 95%-certainty, tolerance interval.
For a normal distribution, a minimum of 120 points is recommended for a 95%-coverage, 90%-certainty, tolerance interval [ 32].
We describe the methods used to construct 99%-coverage, 95%-certainty tolerance intervals, and also how to determine the certainty that the range of data for non-transgenic crops covers 99% of the data.
Sample sizes for some components of corn (Table 1) and all components of cotton (Table 2) and soybean (Table 3) were less than the minimum needed to calculate 99%-coverage, 95%-certainty tolerance intervals (N<473).
To support these methods, the continued submission of quality data to the ILSI crop composition database is strongly encouraged, especially where the sample sizes are insufficient to calculate distribution-free 99%-coverage 95%-certainty tolerance intervals (N < 473).
For example, a minimum of 473 data points are needed for calculating a 99%-coverage, 95%-certainty, distribution-free, tolerance interval [ 34, 38].
For example, the 99%-coverage, 83.4%-certainty distribution-free tolerance interval for ash in soybean seed is 3.89 6.99% dry weight (Table 3, row 1).
For this reason, we used the publicly available data in the ILSI crop-composition database to construct useful 99%-coverage, 95%-certainty, distribution-free, tolerance intervals where possible (N ≥473).
The different tolerance factors certainty (or contradiction) acts as inhibitors of signals, controlling the passage of signals to other regions of the PANN, according to the characteristics of the architecture developed (Fig. 4).
Mindfully releasing our need for certainty also creates more tolerance and patience as we give up our view or our path as the only way.
