It is a non-parametric test for comparing two populations, assessing whether the two groups of results are statistically different from each other [40].
The assumptions underlying the various procedures for comparing two populations are also explained including a brief discussion on the detection of violations and some alternative methods.
It discusses two distinct methods for collecting data on two populations, or equivalently, designing an experiment for comparing two populations— (1) independent samples and (2) dependent or paired samples.
By comparison, the FST values were negative when comparing two populations containing randomly mixed US and European samples.
These two-way indices have proven extremely valuable in both social and natural sciences, especially for comparing two populations or a single population over time.
An Exact Unconditional z-pooled test, which is argued to be more powerful for comparing two populations than the standard unconditional tests (Berger, 1996), was used to compare percentages.
Often, however, when comparing two populations, the population with higher overall mortality has lower mortality at low birth weights and a reversed pattern at higher birth weights.
By comparing two populations (or groups of populations), Fst is much more efficient in capturing large allele frequency differences between breeds and thus identifies "outlier" SNPs that are fixed or close to fixation for opposite alleles.
Alternatively, the SB2 statistic [ 38] would have been useful when comparing two populations one of which is considered less diverse than the other one, that is, in the case where block boundaries could vary among populations.
In the current study, a multilocus analysis using six different nuclear gene fragments was performed comparing two populations of An. cruzii (Florianópolis and Itaparica), representing respectively the southeastern and northeastern sibling species.
