Sentence examples for sample and assuming from inspiring English sources

Exact(3)

The simulation analyses were based on sample sizes corresponding to our reduced sample and assuming items with psychometric characteristics that were the same as those included in PISA 2006.

We estimated detection sensitivity for bacterial populations using the data size per sample and assuming a genome size of ∼3 Mbp.

With this sample and assuming a power of 80%, a two-sided 5% significance level and an ultrasound exposure frequency of 50%, we estimated that we should be able to detect an odds ratio (OR) of at least 1.4 for all CBT.

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This uses the measured transmittance of the sample and assumes that the absorption of the plant material can be approximated as water (i.e., using σ and ρ for water).

The MDP was then expressed as a percentage of adherence using the range of the values in the sample, and assumed values between 0 (low adherence) and 100 (maximum adherence) (Sanchez-Villegas et al, 2002).

In Figure 6, we show the complexity of OFDM, FMT, and CB-FMT as a function of the prototype pulse length (in samples) and assuming it has Q non-zero DFT coefficients.

Since BioAnalyser data (Fig. 1) clearly show that RNA up to 4.8 kb in length (size of the 23S rRNA band) can easily be isolated from these FFPE samples, and assuming that the same is true for mRNA, the limiting factor in this case is not RNA length per se.

In large samples and assuming multivariate normality, X2 is distributed as a Pearson chi-square statistic.

Consequently, we conducted more detailed analyses of individual admixture proportions in VAR using VID and RIN as baseline samples and assuming k = 2 (see below).

A linear model was fitted to the expression values of each probe, modified to account for the replicated samples and assuming no interaction between the genes.

Polygenic effects were sampled in the MCMC chain using Gibbs sampling and assuming a prior N 0, σa) following [ 15], and σa was estimated using a scaled inverted chi-squared prior distribution with -2 degrees of freedom, which implies a non-informative flat prior distribution [ 15].

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