The minimal sample size required to reject the null-hypothesis was six.
We sought to determine the minimal sample size required to eliminate random differences, thereby allowing an unbiased estimation of the treatment effect.
For these products, various problems, such as minimal sample size, competitive failure, complex stress and component relevance, often arise simultaneously; and are followed by technical problems.
An a priori power analysis was conducted to determine the minimal sample size needed to obtain a statistical power of 0.80 at an alpha level of 0.05.
The timeframes for burden enquiry were the preceding 3 months and preceding day, the latter addressed to those responding positively to "Did you have a headache yesterday?" We required a minimal sample size of 2000 [13, 14].
The statistics for the minimal sample size, Bayesian method, and ADT can reduce the requirements of sample size to a certain extent; thus, this is currently receiving increasing attention [8, 94, 95, 96, 97, 98, 99, 100, 101].
Genetic diversity was estimated as allelic richness (mean number of alleles per locus based on the minimal sample size [40]) and expected heterozygosity using FSTAT.
Note that the method is limited by the minimal sample size (30 individuals) required for each sub-group to stay under the normality assumption that validate cut-offs and confidence intervals computation.
As a rule of thumb, and even in ideal sampling conditions, a minimal sample size of N = 50 is needed to obtain an acceptable estimate of the population parameter.
Calculation showed a minimal sample size of 100.
For these assumptions the minimal sample size was 162 [ 20].
