Furthermore, the construction of tolerance intervals is very sensitive to deviations from the assumed distribution especially for high-coverage, high-certainty intervals like those typically constructed [ 37].
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].
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).
We expect time interval, certainty, proportion and especially urgency to be attributes of the intervention that may be easier to evaluate than quality of life.
If I and J respectively denote the quality ranges for a given class of water quality in the Moroccan standard and the Quebec one, then I ∩ J is considered as the interval where certainty is the highest, corresponding to a degree of membership equal to 1.
Confidence limits describe the interval of certainty around a mean value (or mean difference between two groups).
There are three common types of statistical intervals: confidence, prediction, and tolerance [ 34]: Confidence limits describe the interval of certainty around a mean value (or mean difference between two groups).
The sample size was calculated by assuming a prevalence of khat use of 50%, with any particular outcome to be with a 5% margin of error and 95% confidence interval of certainty (alpha = 0.05) and 10% non-response.
