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Based on the limited data in the sample, sub-Saharan Africa not only has the highest percentage of children living in extreme poverty (49%), it is home to the largest share of the world's extremely poor children (51%).
Phrased differently, factor analysis discloses the latent factors that influence significantly the variation of the variables in the data, in the sample, and hence in the population and in the universe of respondents (Kim and Mueller 1978).
Any errors, i.e. any discrepancy between R and
Figure 3 shows the effect of the proportion of ancient data in the sample (n1/n) on the statistics, for moderate time lapse between the two subsets (t1 = 0.2 Ne generations, i.e., 10% of the average MRCA of a contemporaneous homogeneous population; Fig. 2A). Figure 4 shows the effect of the time lapse t1 on the statistics with half of the data being ancient (n1 = n/2, Fig. 2C).
Sexuality was not adjusted for due to the large proportion of missing data in the sample.
Two trials accounting for missing data in the sample size calculation had unclear expected attrition rates.
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It is based on an analysis of the presence or absence of data in the samples considered.
All statistical data in the samples were showed as mean ± SD.
A summary of the height data in the samples of men and women is shown in Table 4.
The distributions of the data in the samples and subsamples deviated markedly from normality and symmetry and the subsamples had unequal variances and sample sizes, as emphasized in part I [ 17].
The observed data in this sample show that the distribution of C-peptide is skewed to the right.
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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