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A parameter data file defines the type of analysis (single- or multi-locus; genetic model; test statistic), number of genetic markers, number of groups, sample size per group, statistical cut-off for significance, and other necessary parameters.
In order to address this issue the FDE exclusion rate statistic (number of detected GNSS faults relative to the total number of injected GNSS faults for a given fault amplitude) is shown in Fig. 8 both for weighted and non-weighted LS and KF methods using the Monte Carlo simulation with induced GNSS faults as discussed before.
A logged output of the PAUP* data for generating phylogenetic trees for the protozoan branch is supplied as an example (Figure S7) and provides information regarding the g1 statistic, number of informative characters (parsimony analysis), treatment of gaps, heuristic search settings, distance matrices, tree statistics, tree lengths and bootstrap support.
aRecruitment rate statistic, number of participants per site per month.
Microsatellite loci data: N, sample size for each population; N alleles, average number of alleles; Hobs, observed heterozygosity; intra-locus k-test statistic, number of loci out of 13 loci that showed negative k values and the corresponding p value (specific k values are provided by suppl. table 3).
Main outcome measures The primary outcome was levels of Aedes infestation: house index (number of houses positive for at least one container with immature stages of Ae aegypti per 100 inspected houses), Breteau index (number of containers positive for immature stages of Ae aegypti per 100 inspected houses), and the pupae per inhabitant statistic (number of Ae aegypti pupae per inhabitant).
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The statistic numbers associated to sequence data processing are shown in Table 1.
Parameters for SAM analysis were test statistic, T-statistic, number of permutations = 1000, false discovery rate (FDR) = 0.1.
For each statistical test, we now report percent change, test used, p-value, whether one- or two-tailed test was used, z-statistic or t-statistic and number of free parameters, e.g. "..., resulting in a significant reduction in SSA index across the population = 8.6.
We are increasingly understanding that behind every statistic, every number, there is a life, a life who has a mother, a father or a sibling, a grandparent".
That trend was apparently reflected in another statistic: the number of stay-at-home mothers was lower last year than it was in 2008.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com