Sentence examples for between populations were tested from inspiring English sources

Differences between populations were tested using 10,000 permutations with a Fisher's exact test.

Genetic differentiation among populations was determined with Φ statistics and pairwise F ST. Differences between populations were tested using 10,000 permutations among populations with Fisher's exact test.

The FST estimates between populations were tested by comparing the initial estimates against the distribution obtained by permutation of the nests (100 times).

Correlation between the genetic (linearised pairwise FST values) and linear log-geographic distance between populations was tested using Mantel's test in IBDWS 3.23 [ 45].

The significance of isolation by distance between populations was tested using a Mantel test with 1000 random permutations on matrices of pairwise population FST values and the natural logarithm of geographical distances [ 58].

The heterogeneity of HO, HE, and FIS between populations was tested with paired t-tests using the statistics package of the software R version 2.6.1 (http://www.r-project.org).org

First, most of the parameters were set up as recommended in the user's manual of STRUCTURE [ 83] and then, the option of "correlated allele frequencies" between populations was tested as recommended by Falush et al.[ 84] in case of subtle population structure.

Genetic differentiation between populations was tested using pairwise ΦST comparisons for each mtDNA region and for the concatenated data set, using a Tamura-Nei evolutionary model [ 70], as this is the closest model to the one inferred for our data set in Modeltest 3.7 [ 71].

To assess the apparent differences between these distribution patterns, the great circle distances between pairs of populations were tested for significance using Student's t-test (p < 0.05 or p < 0.01, 1-tailed) against a null hypothesis that the mean centres were 0 km apart.

A total of four demographic scenarios between Holstein and Hanwoo populations were tested, and samples were generated by coalescent simulations.

The difference in genotype distribution and sex ratio between the populations was tested by chi-square analysis.