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The overall cattle-level sero-positivity confidence intervals of the two populations were compared and found not to overlap (Tables 1 and 2) and therefore significantly different populations.
More precisely, the topographies of the two populations were compared sensor-wise by means of the signtest for paired samples [50].
Since the topographies of the two populations were compared sensor-wise (independently for each sensor), in order for the maps to have statistical sense as a whole, the P-values of each comparison needed to be corrected for multiple comparisons.
The two populations were compared to determine the factors associated with adequate management.
The means of two populations were compared by the Mann-Whitney U-Test.
The means of two populations were compared by Student's t test (unpaired with equal variance).
Similar(50)
In order to reduce the limitations of the previous LD-based approaches, we developed a method for scanning genome-wide SNP genotype data for population-specific selective sweeps that have reached fixation, in which homozygosity for haplotypes in two populations are compared.
In Student's t test, the expectations of two populations are compared.
The normalization step equalizes the abundance of mRNA within the target population, and the subtraction step excludes sequences that are common to the two populations being compared.
Here we consider the case where two populations are compared adjusting for sex differences as well as for the strata (or covariate) differences such as age.
SNPs in the haplotype blocks of the two populations being compared were identified and concordance of all SNP pairs in the same block of one population vs. SNP pairs in the other population was examined.
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